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README.md

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+---
+license: cc-by-nc-nd-4.0
+---
+
+# Mistral-7B-Instruct-v0.2-code-ft
+
+I'm thrilled to introduce the latest iteration of our model, Mistral-7B-Instruct-v0.2-code-ft. This updated version is designed to further enhance coding assistance and co-pilot functionalities. We're eager for developers and enthusiasts to try it out and provide feedback!
+
+## Additional Information
+
+This version builds upon the previous Mistral-7B models, incorporating new datasets and features for a more refined experience.
+
+## Prompt template: ChatML
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Eval Plus Performance
+
+For detailed performance metrics, visit Eval Plus page: [Mistral-7B-Instruct-v0.2-code-ft Eval Plus](https://github.com/evalplus/evalplus)
+
+Score: 0.421 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63729f35acef705233c87909/VLtuWPh8m07bgU8BElpNv.png)
+
+## Dataset: 
+The model has been trained on a new dataset to improve its performance and versatility:
+  - path: ajibawa-2023/Code-74k-ShareGPT
+    
+    type: sharegpt
+    
+    conversation: chatml
+    
+Find more about the dataset here: [Code-74k-ShareGPT Dataset](https://huggingface.co/datasets/ajibawa-2023/Code-74k-ShareGPT)
+
+## Model Architecture
+
+- Base Model: mistralai/Mistral-7B-Instruct-v0.2
+- Tokenizer Type: LlamaTokenizer
+- Model Type: MistralForCausalLM
+- Is Mistral Derived Model: true
+- Sequence Length: 16384 with sample packing
+
+## Enhanced Features
+
+- Adapter: qlora
+- Learning Rate: 0.0002 with cosine lr scheduler
+- Optimizer: adamw_bnb_8bit
+- Training Enhancements: bf16 training, gradient checkpointing, and flash attention
+
+
+## Download Information
+
+You can download and explore this model through these links on Hugging Face.
+
+## Contributions and Feedback
+
+We welcome contributions and feedback from the community. Please feel free to open issues or pull requests on repository.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+

config.json

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+{
+  "_name_or_path": "/home/kamil/4t/models/mistralai_Mistral-7B-Instruct-v0.2/main",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0.dev0"
+}

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