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Model: second-state/Mistral-7B-Instruct-v0.3-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+model_name: Mistral-7B-Instruct-v0.3
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+inference: false
+model_creator: mistralai
+quantized_by: Second State Inc.
+---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# Mistral-7B-Instruct-v0.3-GGUF
+
+## Original Model
+
+[mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.11.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.11.2)
+
+- Prompt template
+
+  - Prompt type: `mistral-instruct`
+
+  - Prompt string
+
+    ```text
+    <s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
+    ```
+
+- Context size: `32000`
+
+- Run as LlamaEdge service
+
+  - Chat
+
+    ```bash
+    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
+      llama-api-server.wasm \
+      --prompt-template mistral-instruct \
+      --ctx-size 32000 \
+      --model-name Mistral-7B-Instruct-v0.3
+    ```
+
+  - Tool use
+
+    ```bash
+    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
+      llama-api-server.wasm \
+      --prompt-template mistral-tool \
+      --ctx-size 32000 \
+      --model-name Mistral-7B-Instruct-v0.3
+    ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template mistral-instruct \
+    --ctx-size 32000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Mistral-7B-Instruct-v0.3-Q2_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q2_K.gguf)     | Q2_K   | 2 | 2.72 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-Instruct-v0.3-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_L.gguf) | Q3_K_L | 3 | 3.83 GB| small, substantial quality loss |
+| [Mistral-7B-Instruct-v0.3-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
+| [Mistral-7B-Instruct-v0.3-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_S.gguf) | Q3_K_S | 3 | 3.17 GB| very small, high quality loss |
+| [Mistral-7B-Instruct-v0.3-Q4_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_0.gguf)     | Q4_0   | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-Instruct-v0.3-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
+| [Mistral-7B-Instruct-v0.3-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
+| [Mistral-7B-Instruct-v0.3-Q5_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_0.gguf)     | Q5_0   | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-Instruct-v0.3-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_K_M.gguf) | Q5_K_M | 5 | 5.14 GB| large, very low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.3-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.3-Q6_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q6_K.gguf)     | Q6_K   | 6 | 5.95 GB| very large, extremely low quality loss |
+| [Mistral-7B-Instruct-v0.3-Q8_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q8_0.gguf)     | Q8_0   | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |
+| [Mistral-7B-Instruct-v0.3-f16.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-f16.gguf)     | f16   | 16 | 14.5 GB|  |
+
+*Quantized with llama.cpp b3030.*

config.json

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+{
+    "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,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.42.0.dev0",
+    "use_cache": true,
+    "vocab_size": 32768
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}