Update README.md

README.md

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 ---
+language:
+- en
 license: apache-2.0
+tags:
+- mistral
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: Thestral-0.1-tr-chat-7B
+  results: []
 ---
+
+# Thestral-0.1-tr-chat-7B
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60ca32d2e7bc4b029af088a0/pNId3MzUdSsI20XOM9Dsv.png)
+
+This model is a full fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on diverse Turkish datasets. 
+
+The model is fully finetuned on translated datasets using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). These datasets primarily consist of translated versions sourced from [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) and the [Open-Orca/SlimOrca datasets](https://huggingface.co/datasets/Open-Orca/SlimOrca).
+
+<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: false
+strict: false
+
+datasets:
+  - path: NovusResearch/OpenHermes-2.5-Translated-TR-sharegpt-style
+    type: sharegpt
+    conversation: chatml
+  - path: data/merged_all.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./out
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+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
+
+## Use 
+wandb_project: full_finetune
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+
+warmup_steps: 10
+evals_per_epoch: 0
+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: "<|im_end|>"
+  unk_token: "<unk>"
+tokens:
+  - "<|im_start|>"
+
+```
+</details><br>