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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Base-2407
+tags:
+- generated_from_trainer
+- axolotl
+datasets:
+- cognitivecomputations/Dolphin-2.9
+- teknium/OpenHermes-2.5
+- m-a-p/CodeFeedback-Filtered-Instruction
+- cognitivecomputations/dolphin-coder
+- cognitivecomputations/samantha-data
+- microsoft/orca-math-word-problems-200k
+- Locutusque/function-calling-chatml
+- internlm/Agent-FLAN
+---
+# BigStorm - ExLLamaV2 (Exl2) Quantization
+- 6.0 bpw target
+- 6 head bits
+
+Enjoy! Raise an issue if you'd like other BPW levels.
+**Base Model Card Follows:**
+---
+
+# Dolphin 2.9.3 Mistral Nemo 12b 🐬
+
+Curated and trained by Eric Hartford and Cognitive Computations
+
+[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/h3K4XGj2RH)
+Discord: https://discord.gg/h3K4XGj2RH
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
+
+Our appreciation for the sponsors of Dolphin 2.9.3:
+- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xL40S node
+
+This model is based on mistralai/Mistral-Nemo-Base-2407, and is governed by the apache 2.0 license.
+
+The base model has 128K context, and our finetuning used 8192 sequence length.
+
+Dolphin 2.9.3 uses ChatML prompt template format.
+
+example:
+
+```
+<|im_start|>system
+You are Dolphin, a helpful AI assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+Dolphin-2.9.3 has a variety of instruction following, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
+
+Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
+
+Dolphin is licensed according to apache 2.0 license.  We grant permission for any use, including commercial. Dolphin was trained on data generated from GPT4, among other models.
+
+## Evals
+
+<details><summary>See evals</summary>
+  
+```
+|                           Tasks                           |Version|Filter|n-shot|        Metric         |   |Value |   |Stderr|
+|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
+|leaderboard                                                |N/A    |none  |     0|acc                    |↑  |0.3437|±  |0.0043|
+|                                                           |       |none  |     0|acc_norm               |↑  |0.5076|±  |0.0053|
+|                                                           |       |none  |     0|exact_match            |↑  |0.0536|±  |0.0061|
+|                                                           |       |none  |     0|inst_level_loose_acc   |↑  |0.4388|±  |N/A   |
+|                                                           |       |none  |     0|inst_level_strict_acc  |↑  |0.3741|±  |N/A   |
+|                                                           |       |none  |     0|prompt_level_loose_acc |↑  |0.3105|±  |0.0199|
+|                                                           |       |none  |     0|prompt_level_strict_acc|↑  |0.2477|±  |0.0186|
+| - leaderboard_bbh                                         |N/A    |none  |     3|acc_norm               |↑  |0.5549|±  |0.0061|
+|  - leaderboard_bbh_boolean_expressions                    |      0|none  |     3|acc_norm               |↑  |0.8640|±  |0.0217|
+|  - leaderboard_bbh_causal_judgement                       |      0|none  |     3|acc_norm               |↑  |0.6417|±  |0.0352|
+|  - leaderboard_bbh_date_understanding                     |      0|none  |     3|acc_norm               |↑  |0.6080|±  |0.0309|
+|  - leaderboard_bbh_disambiguation_qa                      |      0|none  |     3|acc_norm               |↑  |0.6480|±  |0.0303|
+|  - leaderboard_bbh_formal_fallacies                       |      0|none  |     3|acc_norm               |↑  |0.5360|±  |0.0316|
+|  - leaderboard_bbh_geometric_shapes                       |      0|none  |     3|acc_norm               |↑  |0.5240|±  |0.0316|
+|  - leaderboard_bbh_hyperbaton                             |      0|none  |     3|acc_norm               |↑  |0.6440|±  |0.0303|
+|  - leaderboard_bbh_logical_deduction_five_objects         |      0|none  |     3|acc_norm               |↑  |0.4600|±  |0.0316|
+|  - leaderboard_bbh_logical_deduction_seven_objects        |      0|none  |     3|acc_norm               |↑  |0.4680|±  |0.0316|
+|  - leaderboard_bbh_logical_deduction_three_objects        |      0|none  |     3|acc_norm               |↑  |0.7000|±  |0.0290|
+|  - leaderboard_bbh_movie_recommendation                   |      0|none  |     3|acc_norm               |↑  |0.8160|±  |0.0246|
+|  - leaderboard_bbh_navigate                               |      0|none  |     3|acc_norm               |↑  |0.6040|±  |0.0310|
+|  - leaderboard_bbh_object_counting                        |      0|none  |     3|acc_norm               |↑  |0.3680|±  |0.0306|
+|  - leaderboard_bbh_penguins_in_a_table                    |      0|none  |     3|acc_norm               |↑  |0.5548|±  |0.0413|
+|  - leaderboard_bbh_reasoning_about_colored_objects        |      0|none  |     3|acc_norm               |↑  |0.6320|±  |0.0306|
+|  - leaderboard_bbh_ruin_names                             |      0|none  |     3|acc_norm               |↑  |0.7440|±  |0.0277|
+|  - leaderboard_bbh_salient_translation_error_detection    |      0|none  |     3|acc_norm               |↑  |0.5280|±  |0.0316|
+|  - leaderboard_bbh_snarks                                 |      0|none  |     3|acc_norm               |↑  |0.6292|±  |0.0363|
+|  - leaderboard_bbh_sports_understanding                   |      0|none  |     3|acc_norm               |↑  |0.8040|±  |0.0252|
+|  - leaderboard_bbh_temporal_sequences                     |      0|none  |     3|acc_norm               |↑  |0.4680|±  |0.0316|
+|  - leaderboard_bbh_tracking_shuffled_objects_five_objects |      0|none  |     3|acc_norm               |↑  |0.2160|±  |0.0261|
+|  - leaderboard_bbh_tracking_shuffled_objects_seven_objects|      0|none  |     3|acc_norm               |↑  |0.1160|±  |0.0203|
+|  - leaderboard_bbh_tracking_shuffled_objects_three_objects|      0|none  |     3|acc_norm               |↑  |0.3000|±  |0.0290|
+|  - leaderboard_bbh_web_of_lies                            |      0|none  |     3|acc_norm               |↑  |0.4880|±  |0.0317|
+| - leaderboard_gpqa                                        |N/A    |none  |     0|acc_norm               |↑  |0.3146|±  |0.0135|
+|  - leaderboard_gpqa_diamond                               |      1|none  |     0|acc_norm               |↑  |0.3182|±  |0.0332|
+|  - leaderboard_gpqa_extended                              |      1|none  |     0|acc_norm               |↑  |0.3187|±  |0.0200|
+|  - leaderboard_gpqa_main                                  |      1|none  |     0|acc_norm               |↑  |0.3080|±  |0.0218|
+| - leaderboard_ifeval                                      |      2|none  |     0|inst_level_loose_acc   |↑  |0.4388|±  |N/A   |
+|                                                           |       |none  |     0|inst_level_strict_acc  |↑  |0.3741|±  |N/A   |
+|                                                           |       |none  |     0|prompt_level_loose_acc |↑  |0.3105|±  |0.0199|
+|                                                           |       |none  |     0|prompt_level_strict_acc|↑  |0.2477|±  |0.0186|
+|  - leaderboard_math_algebra_hard                          |      1|none  |     4|exact_match            |↑  |0.0749|±  |0.0150|
+|  - leaderboard_math_counting_and_prob_hard                |      1|none  |     4|exact_match            |↑  |0.0244|±  |0.0140|
+|  - leaderboard_math_geometry_hard                         |      1|none  |     4|exact_match            |↑  |0.0227|±  |0.0130|
+| - leaderboard_math_hard                                   |N/A    |none  |     4|exact_match            |↑  |0.0536|±  |0.0061|
+|  - leaderboard_math_intermediate_algebra_hard             |      1|none  |     4|exact_match            |↑  |0.0250|±  |0.0093|
+|  - leaderboard_math_num_theory_hard                       |      1|none  |     4|exact_match            |↑  |0.0390|±  |0.0156|
+|  - leaderboard_math_prealgebra_hard                       |      1|none  |     4|exact_match            |↑  |0.1295|±  |0.0242|
+|  - leaderboard_math_precalculus_hard                      |      1|none  |     4|exact_match            |↑  |0.0296|±  |0.0146|
+| - leaderboard_mmlu_pro                                    |    0.1|none  |     5|acc                    |↑  |0.3437|±  |0.0043|
+| - leaderboard_musr                                        |N/A    |none  |     0|acc_norm               |↑  |0.4511|±  |0.0178|
+|  - leaderboard_musr_murder_mysteries                      |      1|none  |     0|acc_norm               |↑  |0.5880|±  |0.0312|
+|  - leaderboard_musr_object_placements                     |      1|none  |     0|acc_norm               |↑  |0.3438|±  |0.0297|
+|  - leaderboard_musr_team_allocation                       |      1|none  |     0|acc_norm               |↑  |0.4240|±  |0.0313|
+
+|         Groups         |Version|Filter|n-shot|        Metric         |   |Value |   |Stderr|
+|------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
+|leaderboard             |N/A    |none  |     0|acc                    |↑  |0.3437|±  |0.0043|
+|                        |       |none  |     0|acc_norm               |↑  |0.5076|±  |0.0053|
+|                        |       |none  |     0|exact_match            |↑  |0.0536|±  |0.0061|
+|                        |       |none  |     0|inst_level_loose_acc   |↑  |0.4388|±  |N/A   |
+|                        |       |none  |     0|inst_level_strict_acc  |↑  |0.3741|±  |N/A   |
+|                        |       |none  |     0|prompt_level_loose_acc |↑  |0.3105|±  |0.0199|
+|                        |       |none  |     0|prompt_level_strict_acc|↑  |0.2477|±  |0.0186|
+| - leaderboard_bbh      |N/A    |none  |     3|acc_norm               |↑  |0.5549|±  |0.0061|
+| - leaderboard_gpqa     |N/A    |none  |     0|acc_norm               |↑  |0.3146|±  |0.0135|
+| - leaderboard_math_hard|N/A    |none  |     4|exact_match            |↑  |0.0536|±  |0.0061|
+| - leaderboard_musr     |N/A    |none  |     0|acc_norm               |↑  |0.4511|±  |0.0178|
+```
+
+</details><br>
+
+## Training
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: /workspace/models/Mistral-Nemo-Base-2407
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+# load_in_4bit: true
+strict: false
+
+datasets:
+  - path: /workspace/datasets/dolphin-2.9.3/dolphin201-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/SystemChat_filtered_sharegpt.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/SystemChat_multilingual_sharegpt.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-translate-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-codegen-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/not_samantha_norefusals.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/Orca-Math-resort-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/agent_instruct_react_unfiltered.jsonl
+    type: sharegpt  
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/toolbench_instruct_j1s1_3k_unfiltered.jsonl
+    type: sharegpt  
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/toolbench_negative_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/toolbench_react_10p_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/toolbench_tflan_cot_30p_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9.3/openhermes200k_unfiltered.jsonl
+    type: sharegpt 
+    conversation: chatml
+
+chat_template: chatml
+# adapter: qlora
+# lora_r: 128
+# lora_alpha: 16
+# lora_modules_to_save: [embed_tokens, lm_head]
+# lora_dropout: 0.05
+# lora_target_linear: true
+
+
+unfrozen_parameters:
+- ^lm_head.weight$
+- ^model.embed_tokens.weight$
+- input_layernorm
+- model.norm
+- post_attention_layernorm
+- self_attn.rotary_emb
+# mlp.down_proj layers
+- model.layers.0.mlp.down_proj
+- model.layers.1.mlp.down_proj
+- model.layers.4.mlp.down_proj
+- model.layers.37.mlp.down_proj
+- model.layers.24.mlp.down_proj
+- model.layers.2.mlp.down_proj
+- model.layers.38.mlp.down_proj
+- model.layers.35.mlp.down_proj
+- model.layers.25.mlp.down_proj
+- model.layers.6.mlp.down_proj
+- model.layers.22.mlp.down_proj
+- model.layers.23.mlp.down_proj
+- model.layers.3.mlp.down_proj
+- model.layers.21.mlp.down_proj
+- model.layers.5.mlp.down_proj
+- model.layers.28.mlp.down_proj
+- model.layers.20.mlp.down_proj
+- model.layers.26.mlp.down_proj
+- model.layers.19.mlp.down_proj
+- model.layers.34.mlp.down_proj
+# mlp.gate_proj layers
+- model.layers.2.mlp.gate_proj
+- model.layers.1.mlp.gate_proj
+- model.layers.3.mlp.gate_proj
+- model.layers.5.mlp.gate_proj
+- model.layers.4.mlp.gate_proj
+- model.layers.35.mlp.gate_proj
+- model.layers.36.mlp.gate_proj
+- model.layers.37.mlp.gate_proj
+- model.layers.38.mlp.gate_proj
+- model.layers.34.mlp.gate_proj
+- model.layers.33.mlp.gate_proj
+- model.layers.8.mlp.gate_proj
+- model.layers.32.mlp.gate_proj
+- model.layers.6.mlp.gate_proj
+- model.layers.28.mlp.gate_proj
+- model.layers.26.mlp.gate_proj
+- model.layers.30.mlp.gate_proj
+- model.layers.23.mlp.gate_proj
+- model.layers.29.mlp.gate_proj
+- model.layers.27.mlp.gate_proj
+# mlp.up_proj layers
+- model.layers.3.mlp.up_proj
+- model.layers.4.mlp.up_proj
+- model.layers.6.mlp.up_proj
+- model.layers.2.mlp.up_proj
+- model.layers.5.mlp.up_proj
+- model.layers.8.mlp.up_proj
+- model.layers.10.mlp.up_proj
+- model.layers.9.mlp.up_proj
+- model.layers.7.mlp.up_proj
+- model.layers.0.mlp.up_proj
+- model.layers.17.mlp.up_proj
+- model.layers.15.mlp.up_proj
+- model.layers.22.mlp.up_proj
+- model.layers.18.mlp.up_proj
+- model.layers.16.mlp.up_proj
+- model.layers.11.mlp.up_proj
+- model.layers.21.mlp.up_proj
+- model.layers.23.mlp.up_proj
+- model.layers.20.mlp.up_proj
+- model.layers.27.mlp.up_proj
+# self_attn.k_proj layers
+- model.layers.30.self_attn.k_proj
+- model.layers.27.self_attn.k_proj
+- model.layers.25.self_attn.k_proj
+- model.layers.33.self_attn.k_proj
+- model.layers.26.self_attn.k_proj
+- model.layers.31.self_attn.k_proj
+- model.layers.35.self_attn.k_proj
+- model.layers.39.self_attn.k_proj
+- model.layers.22.self_attn.k_proj
+- model.layers.24.self_attn.k_proj
+- model.layers.21.self_attn.k_proj
+- model.layers.28.self_attn.k_proj
+- model.layers.23.self_attn.k_proj
+- model.layers.36.self_attn.k_proj
+- model.layers.20.self_attn.k_proj
+- model.layers.37.self_attn.k_proj
+- model.layers.29.self_attn.k_proj
+- model.layers.32.self_attn.k_proj
+- model.layers.16.self_attn.k_proj
+- model.layers.18.self_attn.k_proj
+# self_attn.o_proj layers
+- model.layers.7.self_attn.o_proj
+- model.layers.6.self_attn.o_proj
+- model.layers.9.self_attn.o_proj
+- model.layers.5.self_attn.o_proj
+- model.layers.27.self_attn.o_proj
+- model.layers.26.self_attn.o_proj
+- model.layers.4.self_attn.o_proj
+- model.layers.31.self_attn.o_proj
+- model.layers.8.self_attn.o_proj
+- model.layers.16.self_attn.o_proj
+- model.layers.3.self_attn.o_proj
+- model.layers.10.self_attn.o_proj
+- model.layers.18.self_attn.o_proj
+- model.layers.33.self_attn.o_proj
+- model.layers.17.self_attn.o_proj
+- model.layers.32.self_attn.o_proj
+- model.layers.30.self_attn.o_proj
+- model.layers.2.self_attn.o_proj
+- model.layers.15.self_attn.o_proj
+- model.layers.11.self_attn.o_proj
+# self_attn.q_proj layers
+- model.layers.14.self_attn.q_proj
+- model.layers.11.self_attn.q_proj
+- model.layers.15.self_attn.q_proj
+- model.layers.9.self_attn.q_proj
+- model.layers.8.self_attn.q_proj
+- model.layers.18.self_attn.q_proj
+- model.layers.12.self_attn.q_proj
+- model.layers.13.self_attn.q_proj
+- model.layers.19.self_attn.q_proj
+- model.layers.16.self_attn.q_proj
+- model.layers.10.self_attn.q_proj
+- model.layers.17.self_attn.q_proj
+- model.layers.7.self_attn.q_proj
+- model.layers.5.self_attn.q_proj
+- model.layers.20.self_attn.q_proj
+- model.layers.3.self_attn.q_proj
+- model.layers.26.self_attn.q_proj
+- model.layers.27.self_attn.q_proj
+- model.layers.28.self_attn.q_proj
+- model.layers.33.self_attn.q_proj
+# self_attn.v_proj layers
+- model.layers.27.self_attn.v_proj
+- model.layers.20.self_attn.v_proj
+- model.layers.24.self_attn.v_proj
+- model.layers.25.self_attn.v_proj
+- model.layers.30.self_attn.v_proj
+- model.layers.2.self_attn.v_proj
+- model.layers.23.self_attn.v_proj
+- model.layers.22.self_attn.v_proj
+- model.layers.26.self_attn.v_proj
+- model.layers.33.self_attn.v_proj
+- model.layers.37.self_attn.v_proj
+- model.layers.7.self_attn.v_proj
+- model.layers.4.self_attn.v_proj
+- model.layers.18.self_attn.v_proj
+- model.layers.31.self_attn.v_proj
+- model.layers.17.self_attn.v_proj
+- model.layers.35.self_attn.v_proj
+- model.layers.32.self_attn.v_proj
+- model.layers.21.self_attn.v_proj
+- model.layers.3.self_attn.v_proj
+
+
+
+dataset_prepared_path:  /workspace/axolotl/dolph-2.9.3-nemo-prepared
+val_set_size: 0.01
+output_dir: /workspace/axolotl/dolphin-2.9.3-mistral-nemo
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: dolphin-2.9.3-Mistral-nemo
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 16
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 5e-6
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32:
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+# evals_per_epoch: 4
+eval_table_size:
+saves_per_epoch: 1
+save_total_limit: 2
+save_steps:
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.1
+special_tokens:
+  eos_token: "<|im_end|>"
+  pad_token: "<pad>"
+  bos_token: "<s>"
+  unk_token: "<unk>"
+tokens:
+  - "<|im_start|>"
+
+
+# fsdp:
+#   - full_shard
+#   - auto_wrap
+# fsdp_config:
+#   fsdp_limit_all_gathers: true
+#   fsdp_sync_module_states: true
+#   fsdp_offload_params: true
+#   fsdp_use_orig_params: false
+#   fsdp_cpu_ram_efficient_loading: true
+#   fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock
+#   fsdp_state_dict_type: FULL_STATE_DICT
+#   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+#   fsdp_sharding_strategy: FULL_SHARD
+#   fsdp_forward_prefetch: false
+#   fsdp_backward_prefetch: BACKWARD_PRE
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ehartford/dolphin-2.9.3-Mistral-nemo/runs/c23odyoj)
+# workspace/axolotl/dolphin-2.9.3-mistral-nemo
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5605
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5691        | 1.0162 | 983  | 0.5734          |
+| 0.5335        | 2.0174 | 1968 | 0.5609          |
+| 0.5297        | 2.9639 | 2901 | 0.5605          |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "<|im_end|>": 131072,
+  "<|im_start|>": 131073
+}

config.json

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+{
+    "_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 131072,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 1024000,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.0.dev0",
+    "use_cache": false,
+    "vocab_size": 131074,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.9",
+        "bits": 6.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.0.dev0"
+}

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