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README.md

@@ -1,3 +1,33 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+inference: false 
+tags: [green, llmware-chat, p7, ov,emerald]
+---
+
+# mistral-7b-instruct-v0.3-ov
+
+**mistral-7b-instruct-v0.3-ov** is an OpenVino int4 quantized version of mistral-7b-instruct-v0.3, providing a fast inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+
+[**mistral-7b-instruct-v0.3**](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) is the newest open source 7b instruct release from Mistral.
+
+
+### Model Description
+
+- **Developed by:** mistralai
+- **Quantized by:** llmware
+- **Model type:** mistral-7b-v0.3  
+- **Parameters:** 7 billion
+- **Model Parent:**  mistralai/Mistral-7B-Instruct-v0.3
+- **Language(s) (NLP):** English  
+- **License:** Apache 2.0  
+- **Uses:** General use  
+- **Quantization:** int4  
+  
+
+## Model Card Contact
+
+[llmware on github](https://www.github.com/llmware-ai/llmware)  
+
+[llmware on hf](https://www.huggingface.co/llmware)  
+
+[llmware website](https://www.llmware.ai)  

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "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": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32768
+}