Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,271 @@
+---
+library_name: transformers
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ja
+- ko
+- zh
+- ar
+license: cc-by-nc-4.0
+tags:
+- exl2
+---
+
+# c4ai-command-r-v01 - EXL2 4.5bpw
+
+This is a 4.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
+
+Details about the model can be found at the above model page.
+
+
+## EXL2 Version
+
+These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library.
+
+If you have problems loading these models, please update Text Generation WebUI to the latest version.
+
+### RP Calibrated
+
+The rpcal quants were made using data/PIPPA-cleaned/pippa_raw_fix.parquet for calibration.
+
+## Perplexity Scoring
+
+Below are the perplexity scores for the EXL2 models. A lower score is better. 
+ 
+### Stock Quants
+
+| Quant Level | Perplexity Score |
+|-------------|------------------|
+| 8.0 | 6.4436 |
+| 7.0 | 6.4372 |
+| 6.0 | 6.4391 |
+| 5.0 | 6.4526 |
+| 4.5 | 6.4629 |
+| 4.0 | 6.5081 |
+| 3.5 | 6.6301 |
+| 3.0 | 6.7974 |
+
+### RP Calibrated Quants
+
+| Quant Level | Perplexity Score |
+|-------------|------------------|
+| 8.0 | 6.4331 |
+| 7.0 | 6.4347 |
+| 6.0 | 6.4356 |
+| 5.0 | 6.4740 |
+| 4.5 | 6.4875 |
+| 4.0 | 6.5039 |
+| 3.5 | 6.6928 |
+| 3.0 | 6.8913 |
+
+## EQ Bench
+
+Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Command-R and Command-R-Plus prompt templates. A higher score is better.
+
+### Quants
+
+| Quant Size | Instruct Template | Score |
+|------------|-------------------|-------|
+| 8.0 | Alpaca | 56.67 |
+| 8.0 | ChatML | 47.28 |
+| 8.0 | Command-R | 58.46 |
+| 8.0 | Command-R-Plus | 58.49 |
+| 7.0 | Alpaca | 57.5 |
+| 7.0 | ChatML | 46.86 |
+| 7.0 | Command-R | 57.29 |
+| 7.0 | Command-R-Plus | 57.91 |
+| 6.0 | Alpaca | 56.5 |
+| 6.0 | ChatML | 48.61 |
+| 6.0 | Command-R | 57.8 |
+| 6.0 | Command-R-Plus | 58.64 |
+| 5.0 | Alpaca | 54.64 |
+| 5.0 | ChatML | 48.48 |
+| 5.0 | Command-R | 57.14 |
+| 5.0 | Command-R-Plus | 56.63 |
+| 4.5 | Alpaca | 57.75 |
+| 4.5 | ChatML | 48.1 |
+| 4.5 | Command-R | 57.08 |
+| 4.5 | Command-R-Plus | 56.7 |
+| 4.0 | Alpaca | 53.41 |
+| 4.0 | ChatML | 50.99 |
+| 4.0 | Command-R | 57.46 |
+| 4.0 | Command-R-Plus | 57.99 |
+| 3.5 | Alpaca | 56.68 |
+| 3.5 | ChatML | 52.72 |
+| 3.5 | Command-R | 60.91 |
+| 3.5 | Command-R-Plus | 60.91 |
+| 3.0 | Alpaca | 36.45 |
+| 3.0 | ChatML | 39.19 |
+| 3.0 | Command-R | 49.17 |
+| 3.0 | Command-R-Plus | 49.68 |
+
+
+### RP Calibrated Quants
+
+| Quant Size | Instruct Template | Score |
+|------------|-------------------|-------|
+| 8.0 | Alpaca | 56.23 |
+| 8.0 | ChatML | 48.42 |
+| 8.0 | Command-R | 58.41 |
+| 8.0 | Command-R-Plus | 58.41 |
+| 7.0 | Alpaca | 57.01 |
+| 7.0 | ChatML | 48.47 |
+| 7.0 | Command-R | 57.85 |
+| 7.0 | Command-R-Plus | 57.67 |
+| 6.0 | Alpaca | 58.33 |
+| 6.0 | ChatML | 50.93 |
+| 6.0 | Command-R | 60.32 |
+| 6.0 | Command-R-Plus | 59.83 |
+| 5.0 | Alpaca | 55.28 |
+| 5.0 | ChatML | 50.29 |
+| 5.0 | Command-R | 58.96 |
+| 5.0 | Command-R-Plus | 59.23 |
+| 4.5 | Alpaca | 55.01 |
+| 4.5 | ChatML | 46.63 |
+| 4.5 | Command-R | 57.7 |
+| 4.5 | Command-R-Plus | 59.24 |
+| 4.0 | Alpaca | 49.76 |
+| 4.0 | ChatML | 47.13 |
+| 4.0 | Command-R | 54.76 |
+| 4.0 | Command-R-Plus | 55.5 |
+| 3.5 | Alpaca | 56.39 |
+| 3.5 | ChatML | 52.98 |
+| 3.5 | Command-R | 59.19 |
+| 3.5 | Command-R-Plus | 58.32 |
+| 3.0 | Alpaca | 50.36 |
+| 3.0 | ChatML | 47.94 |
+| 3.0 | Command-R | 54.89 |
+| 3.0 | Command-R-Plus | 53.61 |
+
+
+### Command-R-Plus Template
+
+This is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS_TOKEN into the starter prompt.
+
+_text-generation-webui/instruction-templates/Command-R-Plus.yaml_:
+```yaml
+instruction_template: |-
+  {%- if messages[0]['role'] == 'system' -%}
+      {%- set loop_messages = messages[1:] -%}
+      {%- set system_message = messages[0]['content'] -%}
+  {%- elif false == true -%}
+      {%- set loop_messages = messages -%}
+      {%- set system_message = 'You are Command-R, a brilliant, sophisticated, AI-assistant trained to assist human users by providing thorough responses. You are trained by Cohere.' -%}
+  {%- else -%}
+      {%- set loop_messages = messages -%}
+      {%- set system_message = false -%}
+  {%- endif -%}
+  {%- if system_message != false -%}
+      {{ '<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + system_message + '<|END_OF_TURN_TOKEN|>' }}
+  {%- endif -%}
+  {%- for message in loop_messages -%}
+      {%- set content = message['content'] -%}
+      {%- if message['role'] == 'user' -%}
+          {{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}
+      {%- elif message['role'] == 'assistant' -%}
+          {{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>'  + content.strip() + '<|END_OF_TURN_TOKEN|>' }}
+      {%- endif -%}
+  {%- endfor -%}
+  {%- if add_generation_prompt -%}
+      {{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}
+  {%- endif -%}
+
+```
+
+### Perplexity Script
+
+This was the script used for perplexity testing.
+
+```bash
+#!/bin/bash
+
+# Activate the conda environment
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate exllamav2
+
+# Set the model name and bit size
+MODEL_NAME="c4ai-command-r-v01"
+BIT_PRECISIONS=(8.0 7.0 6.0 5.0 4.5 4.0 3.5 3.0)
+
+# Print the markdown table header
+echo "| Quant Level | Perplexity Score |"
+echo "|-------------|------------------|"
+
+for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
+do
+  MODEL_DIR="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
+  # MODEL_DIR="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw-rpcal"
+  if [ -d "$MODEL_DIR" ]; then
+    output=$(python test_inference.py -m "$MODEL_DIR" -gs 22,24 -ed data/wikitext/wikitext-2-v1.parquet)
+    score=$(echo "$output" | grep -oP 'Evaluation perplexity: \K[\d.]+')
+    echo "| $BIT_PRECISION | $score |"
+  fi
+done
+```
+
+
+## Quant Details
+
+This is the script used for quantization.
+
+```bash
+#!/bin/bash
+
+# Activate the conda environment
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate exllamav2
+
+# Set the model name and bit size
+MODEL_NAME="c4ai-command-r-v01"
+
+# Define variables
+MODEL_DIR="models/$MODEL_NAME"
+OUTPUT_DIR="exl2_$MODEL_NAME"
+MEASUREMENT_FILE="measurements/$MODEL_NAME.json"
+# CALIBRATION_DATASET="data/PIPPA-cleaned/pippa_raw_fix.parquet"
+
+# Create the measurement file if needed
+if [ ! -f "$MEASUREMENT_FILE" ]; then
+    echo "Creating $MEASUREMENT_FILE"
+    # Create directories
+    if [ -d "$OUTPUT_DIR" ]; then
+        rm -r "$OUTPUT_DIR"
+    fi
+    mkdir "$OUTPUT_DIR"
+
+    # python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE -c $CALIBRATION_DATASET
+    python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
+fi
+
+# Choose one of the below. Either create a single quant for testing or a batch of them.
+# BIT_PRECISIONS=(5.0)
+BIT_PRECISIONS=(8.0 7.0 6.0 5.0 4.5 4.0 3.5 3.0)
+
+for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
+do
+    CONVERTED_FOLDER="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
+
+    # If it doesn't already exist, make the quant
+    if [ ! -d "$CONVERTED_FOLDER" ]; then
+
+        echo "Creating $CONVERTED_FOLDER"
+
+        # Create directories
+        if [ -d "$OUTPUT_DIR" ]; then
+            rm -r "$OUTPUT_DIR"
+        fi
+        mkdir "$OUTPUT_DIR"
+        mkdir "$CONVERTED_FOLDER"
+        
+        # Run conversion commands  
+        # python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -c $CALIBRATION_DATASET -cf $CONVERTED_FOLDER
+        python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
+
+    fi
+done
+```

config.json

@@ -0,0 +1,41 @@
+{
+    "_name_or_path": "/home/ahmet_cohere_com/HF_Final_weight_tie",
+    "architectures": [
+        "CohereForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 5,
+    "eos_token_id": 255001,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 22528,
+    "layer_norm_eps": 1e-05,
+    "logit_scale": 0.0625,
+    "max_position_embeddings": 8192,
+    "model_max_length": 131072,
+    "model_type": "cohere",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 64,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rope_theta": 8000000.0,
+    "torch_dtype": "float16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 256000,
+    "tie_word_embeddings": true,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.18",
+        "bits": 4.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "pippa_raw_fix.parquet"
+        }
+    }
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 5,
+  "eos_token_id": 255001,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors.index.json

@@ -0,0 +1,329 @@
+{
+  "metadata": {
+    "total_size": 69961662464
+  },
+  "weight_map": {
+    "model.embed_tokens.weight": "model-00001-of-00015.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00002-of-00015.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00006-of-00015.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00007-of-00015.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00008-of-00015.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00009-of-00015.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00010-of-00015.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00011-of-00015.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00003-of-00015.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00012-of-00015.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00013-of-00015.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.36.input_layernorm.weight": "model-00014-of-00015.safetensors",
+    "model.layers.36.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.36.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.36.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.36.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.36.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.36.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.36.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
+    "model.layers.37.input_layernorm.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.37.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.input_layernorm.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.38.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.39.input_layernorm.weight": "model-00015-of-00015.safetensors",
+    "model.layers.39.mlp.down_proj.weight": "model-00015-of-00015.safetensors",
+    "model.layers.39.mlp.gate_proj.weight": "model-00015-of-00015.safetensors",
+    "model.layers.39.mlp.up_proj.weight": "model-00015-of-00015.safetensors",
+    "model.layers.39.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.39.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.39.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.39.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00004-of-00015.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00005-of-00015.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
+    "model.norm.weight": "model-00015-of-00015.safetensors"
+  }
+}

output-00001-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5147a332b9b1331a0ce9550e1672e3d703baf1d9197a0961dce0dbb6128c0a8
+size 8573042496

output-00002-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6994217810c266154abe79695b87597834458b3cb69bff1dc63422c652e14c30
+size 8587528304

output-00003-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea76d764f0f2e2b4336944ad71feba1f20e1f7a7b894f9cbb72f086dc52322e8
+size 8372494960

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<BOS_TOKEN>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|END_OF_TURN_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<PAD>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0af6e6fe50ce1bb5611b103482de6bac000c82e06898138d57f35af121aec772
+size 12777406

tokenizer_config.json

@@ -0,0 +1,319 @@
+{
+    "add_bos_token": true,
+    "add_eos_token": false,
+    "added_tokens_decoder": {
+      "0": {
+        "content": "<PAD>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "1": {
+        "content": "<UNK>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "2": {
+        "content": "<CLS>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "3": {
+        "content": "<SEP>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "4": {
+        "content": "<MASK_TOKEN>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "5": {
+        "content": "<BOS_TOKEN>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "6": {
+        "content": "<EOS_TOKEN>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "7": {
+        "content": "<EOP_TOKEN>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": true
+      },
+      "255000": {
+        "content": "<|START_OF_TURN_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255001": {
+        "content": "<|END_OF_TURN_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255002": {
+        "content": "<|YES_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255003": {
+        "content": "<|NO_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255004": {
+        "content": "<|GOOD_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255005": {
+        "content": "<|BAD_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255006": {
+        "content": "<|USER_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255007": {
+        "content": "<|CHATBOT_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255008": {
+        "content": "<|SYSTEM_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255009": {
+        "content": "<|USER_0_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255010": {
+        "content": "<|USER_1_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255011": {
+        "content": "<|USER_2_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255012": {
+        "content": "<|USER_3_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255013": {
+        "content": "<|USER_4_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255014": {
+        "content": "<|USER_5_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255015": {
+        "content": "<|USER_6_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255016": {
+        "content": "<|USER_7_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255017": {
+        "content": "<|USER_8_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255018": {
+        "content": "<|USER_9_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255019": {
+        "content": "<|EXTRA_0_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255020": {
+        "content": "<|EXTRA_1_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255021": {
+        "content": "<|EXTRA_2_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255022": {
+        "content": "<|EXTRA_3_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255023": {
+        "content": "<|EXTRA_4_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255024": {
+        "content": "<|EXTRA_5_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255025": {
+        "content": "<|EXTRA_6_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255026": {
+        "content": "<|EXTRA_7_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255027": {
+        "content": "<|EXTRA_8_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      },
+      "255028": {
+        "content": "<|EXTRA_9_TOKEN|>",
+        "lstrip": false,
+        "normalized": false,
+        "rstrip": false,
+        "single_word": false,
+        "special": false
+      }
+    },
+    "auto_map": {
+      "AutoTokenizer": [
+        null,
+        "tokenization_cohere_fast.CohereTokenizerFast"
+      ]
+    },
+    "bos_token": "<BOS_TOKEN>",
+    "clean_up_tokenization_spaces": false,
+    "eos_token": "<|END_OF_TURN_TOKEN|>",
+    "legacy": true,
+    "model_max_length": 1000000000000000019884624838656,
+    "pad_token": "<PAD>",
+    "sp_model_kwargs": {},
+    "spaces_between_special_tokens": false,
+    "tokenizer_class": "CohereTokenizer",
+    "unk_token": null,
+    "use_default_system_prompt": false
+  }