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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.
 ---
+
+![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)
+
+# 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 Gaianet
+
+**Prompt template**
+
+prompt template: `mistral-instruct`
+
+**Context size**
+
+chat_ctx_size: `32000`
+
+**Run with GaiaNet**
+
+- Quick start: https://docs.gaianet.ai/node-guide/quick-start
+
+- Customize your node: https://docs.gaianet.ai/node-guide/customize
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Mistral-7B-Instruct-v0.3-Q2_K.gguf](https://huggingface.co/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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/gaianet/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.*