Update README.md

README.md

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 ---
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- mistral
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
+model-index:
+- name: Thestral-0.1
+  results: []
 license: apache-2.0
+language:
+- en
 ---
+
+# Thestral 0.1
+
+Thestral is Mistral Fine-tune. The model is a QLoRA version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca).
+
+This model is finetuned using `1xH100` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
+
+<details><summary>See axolotl config</summary>
+axolotl version: `0.4.0`
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: Open-Orca/SlimOrca
+    type: sharegpt
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./qlora-out_2
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 128
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project: slim_orca
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+```
+
+
+GPT-4All Benchmark Set
+
+|    Tasks    |Version|Filter|n-shot| Metric |Value |   |Stderr|
+|-------------|------:|------|------|--------|-----:|---|-----:|
+|winogrande   |      1|none  |None  |acc     |0.7498|±  |0.0122|
+|piqa         |      1|none  |None  |acc     |0.8172|±  |0.0090|
+|             |       |none  |None  |acc_norm|0.8286|±  |0.0088|
+|openbookqa   |      1|none  |None  |acc     |0.3380|±  |0.0212|
+|             |       |none  |None  |acc_norm|0.4420|±  |0.0222|
+|hellaswag    |      1|none  |None  |acc     |0.6254|±  |0.0048|
+|             |       |none  |None  |acc_norm|0.8061|±  |0.0039|
+|boolq        |      2|none  |None  |acc     |0.8740|±  |0.0058|
+|arc_easy     |      1|none  |None  |acc     |0.8199|±  |0.0079|
+|             |       |none  |None  |acc_norm|0.7891|±  |0.0084|
+|arc_challenge|      1|none  |None  |acc     |0.5145|±  |0.0146|
+|             |       |none  |None  |acc_norm|0.5461|±  |0.0145|
+Average: 71.93
+
+
+# 🤖 Additional information about training
+
+This model is fine-tuned for 1.0 epoch. 
+
+
+<details><summary>Loss graph</summary>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60ca32d2e7bc4b029af088a0/bZdS1tIIJ4tWL_pTM4qeQ.png)
+</details><br>
+
+Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
+
+Thanks to all open source AI community.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)