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second-state/Mistral-Small-24B-Instruct-2501-GGUF
Mistral-Small-24B-Instruct-2501-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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Downloads · 30 days
395
8% of all-time downloads
All-time downloads
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.gguf225 GB · 100%
From the Hugging Face model README
mistralai/Mistral-Small-24B-Instruct-2501
LlamaEdge version: v0.16.5
Prompt template
Chat
Prompt type: mistral-small-chat
Prompt string
<s>[SYSTEM_PROMPT]<system prompt>[/SYSTEM_PROMPT][INST]<user message>[/INST]<assistant response></s>[INST]<user message>[/INST]
Chat + Tool Use
Prompt type: mistral-small-tool
Prompt string
<s>[INST] {user_message_1}[/INST][TOOL_CALLS] [{tool_call_1},{tool_call_2}]</s>[TOOL_RESULTS] {tool_result_1}[/TOOL_RESULTS] {assistant_message_1}</s>[AVAILABLE_TOOLS] [{tool_1},{tool_2}][/AVAILABLE_TOOLS][INST] {system_message}<0x0A><0x0A>{user_message_2}[/INST]
Context size: 32000
Run as LlamaEdge service
Chat
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-24B-Instruct-2501-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template mistral-small-chat \
--ctx-size 32000 \
--model-name Mistral-Small-24B-Instruct-2501
Chat + Tool Use
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-24B-Instruct-2501-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template mistral-small-tool \
--ctx-size 32000 \
--model-name Mistral-Small-24B-Instruct-2501
Example:

Run as LlamaEdge command app
Chat
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-24B-Instruct-2501-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template mistral-small-chat \
--ctx-size 32000
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Mistral-Small-24B-Instruct-2501-Q2_K.gguf | Q2_K | 2 | 8.89 GB | smallest, significant quality loss - not recommended for most purposes |
| Mistral-Small-24B-Instruct-2501-Q3_K_L.gguf | Q3_K_L | 3 | 12.4 GB | small, substantial quality loss |
| Mistral-Small-24B-Instruct-2501-Q3_K_M.gguf | Q3_K_M | 3 | 11.5 GB | very small, high quality loss |
| Mistral-Small-24B-Instruct-2501-Q3_K_S.gguf | Q3_K_S | 3 | 10.4 GB | very small, high quality loss |
| Mistral-Small-24B-Instruct-2501-Q4_0.gguf | Q4_0 | 4 | 13.4 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Mistral-Small-24B-Instruct-2501-Q4_K_M.gguf | Q4_K_M | 4 | 14.3 GB | medium, balanced quality - recommended |
| Mistral-Small-24B-Instruct-2501-Q4_K_S.gguf | Q4_K_S | 4 | 13.5 GB | small, greater quality loss |
| Mistral-Small-24B-Instruct-2501-Q5_0.gguf | Q5_0 | 5 | 16.3 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Mistral-Small-24B-Instruct-2501-Q5_K_M.gguf | Q5_K_M | 5 | 16.8 GB | large, very low quality loss - recommended |
| Mistral-Small-24B-Instruct-2501-Q5_K_S.gguf | Q5_K_S | 5 | 16.3 GB | large, low quality loss - recommended |
| Mistral-Small-24B-Instruct-2501-Q6_K.gguf | Q6_K | 6 | 19.3 GB | very large, extremely low quality loss |
| Mistral-Small-24B-Instruct-2501-Q8_0.gguf | Q8_0 | 8 | 25.1 GB | very large, extremely low quality loss - not recommended |
| Mistral-Small-24B-Instruct-2501-f16.gguf | f16 | 16 | 47.2 GB |
Quantized with llama.cpp b4595.