Mistral-7B-Instruct-v0.3-GGUF
Original Model
mistralai/Mistral-7B-Instruct-v0.3
Run with LlamaEdge
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LlamaEdge version: v0.11.2
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Prompt template
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Prompt type:
mistral-instruct -
Prompt string
<s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
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Context size:
32000 -
Run as LlamaEdge service
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Chat
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
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
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Run as LlamaEdge command app
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 | Q2_K | 2 | 2.72 GB | smallest, significant quality loss - not recommended for most purposes |
| 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 | Q3_K_M | 3 | 3.52 GB | very small, high quality loss |
| 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 | 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 | Q4_K_M | 4 | 4.37 GB | medium, balanced quality - recommended |
| 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 | Q5_0 | 5 | 5 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| 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 | Q5_K_S | 5 | 5 GB | large, low quality loss - recommended |
| 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 | Q8_0 | 8 | 7.7 GB | very large, extremely low quality loss - not recommended |
| Mistral-7B-Instruct-v0.3-f16.gguf | f16 | 16 | 14.5 GB |
Quantized with llama.cpp b3030.