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Browse files- README.md +80 -0
- config.json +42 -0
- generation_config.json +6 -0
- model.safetensors.index.json +0 -0
- output-00001-of-00015.safetensors +3 -0
- output-00002-of-00015.safetensors +3 -0
- output-00003-of-00015.safetensors +3 -0
- output-00004-of-00015.safetensors +3 -0
- output-00005-of-00015.safetensors +3 -0
- output-00006-of-00015.safetensors +3 -0
- output-00007-of-00015.safetensors +3 -0
- output-00008-of-00015.safetensors +3 -0
- output-00009-of-00015.safetensors +3 -0
- output-00010-of-00015.safetensors +3 -0
- output-00011-of-00015.safetensors +3 -0
- output-00012-of-00015.safetensors +3 -0
- output-00013-of-00015.safetensors +3 -0
- output-00014-of-00015.safetensors +3 -0
- output-00015-of-00015.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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base_model: microsoft/WizardLM-2-8x22B
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tags:
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- exl2
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---
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# WizardLM-2-8x22B - EXL2 7.0bpw
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This is a 7.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
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Details about the model can be found at the above model page.
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## EXL2 Version
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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.
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If you have problems loading these models, please update Text Generation WebUI to the latest version.
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## Quant Details
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This is the script used for quantization.
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```bash
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#!/bin/bash
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# Activate the conda environment
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source ~/miniconda3/etc/profile.d/conda.sh
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conda activate exllamav2
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# Set the model name and bit size
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MODEL_NAME="WizardLM-2-8x22B"
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# Define variables
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MODEL_DIR="/mnt/storage/models/$MODEL_NAME"
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OUTPUT_DIR="exl2_$MODEL_NAME"
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MEASUREMENT_FILE="measurements/$MODEL_NAME.json"
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# Create the measurement file if needed
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if [ ! -f "$MEASUREMENT_FILE" ]; then
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echo "Creating $MEASUREMENT_FILE"
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# Create directories
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if [ -d "$OUTPUT_DIR" ]; then
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rm -r "$OUTPUT_DIR"
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fi
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mkdir "$OUTPUT_DIR"
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
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fi
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# Choose one of the below. Either create a single quant for testing or a batch of them.
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# BIT_PRECISIONS=(2.25)
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BIT_PRECISIONS=(5.0 4.5 4.0 3.5 3.0 2.75 2.5 2.25)
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for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
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do
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CONVERTED_FOLDER="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
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# If it doesn't already exist, make the quant
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if [ ! -d "$CONVERTED_FOLDER" ]; then
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echo "Creating $CONVERTED_FOLDER"
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# Create directories
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if [ -d "$OUTPUT_DIR" ]; then
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rm -r "$OUTPUT_DIR"
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fi
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mkdir "$OUTPUT_DIR"
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mkdir "$CONVERTED_FOLDER"
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# Run conversion commands
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
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fi
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done
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```
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config.json
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{
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"_name_or_path": "",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 6144,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 65536,
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"model_type": "mixtral",
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"num_attention_heads": 48,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 56,
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"num_key_value_heads": 8,
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"num_local_experts": 8,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": false,
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"vocab_size": 32000,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.0.18",
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"bits": 7.0,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.36.2"
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}
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model.safetensors.index.json
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The diff for this file is too large to render.
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output-00001-of-00015.safetensors
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special_tokens_map.json
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{
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"content": "<s>",
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"single_word": false
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},
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},
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|
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|
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|
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|
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"rstrip": false,
|
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"single_word": false
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}
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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{
|
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"add_bos_token": true,
|
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": false,
|
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|
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|
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"special": true
|
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},
|
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"1": {
|
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"content": "<s>",
|
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|
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|
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|
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|
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"special": true
|
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},
|
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"2": {
|
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|
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|
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|
25 |
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|
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|
27 |
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"special": true
|
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+
}
|
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},
|
30 |
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"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
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"clean_up_tokenization_spaces": false,
|
33 |
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"eos_token": "</s>",
|
34 |
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"legacy": true,
|
35 |
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": "<unk>",
|
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"padding_side": "right",
|
38 |
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"sp_model_kwargs": {},
|
39 |
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"spaces_between_special_tokens": false,
|
40 |
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"tokenizer_class": "LlamaTokenizer",
|
41 |
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"unk_token": "<unk>",
|
42 |
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"use_default_system_prompt": false
|
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}
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