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Mixtral-8x7B-Instruct-v0.1-GGUF
second-state/Mixtral-8x7B-Instruct-v0.1-GGUF
Mixtral-8x7B-Instruct-v0.1-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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All-time downloads
23.5K
Public
Repo size
414 GB
Likes
5
Public
Repo makeup
Click a slice to open those files.
.gguf352 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mixtral
- Access
- Public
- Created
- Jan 1, 2024
- Updated
- Mar 20, 2024
- SHA
- eb632370
Base models
Model card
From the Hugging Face model README
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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Mixtral-8x7B-Instruct-v0.1-GGUF
Original Model
mistralai/Mixtral-8x7B-Instruct-v0.1
Run with LlamaEdge
-
LlamaEdge version: v0.2.8 and above
-
Prompt template
-
Prompt type:
mistral-instruct -
Prompt string
<s> [INST] {user_message_1} [/INST] {assitant_message_1}</s> [INST] {user_message_2} [/INST]
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-
Context size:
4096 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mixtral-8x7B-Instruct-v0.1-Q5_K_M.gguf llama-api-server.wasm -p mistral-instruct -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mixtral-8x7B-Instruct-v0.1-Q5_K_M.gguf llama-chat.wasm -p mistral-instruct
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Mixtral-8x7B-Instruct-v0.1-Q2_K.gguf | Q2_K | 2 | 17.3 GB | smallest, significant quality loss - not recommended for most purposes |
| Mixtral-8x7B-Instruct-v0.1-Q3_K_L.gguf | Q3_K_L | 3 | 24.2 GB | small, substantial quality loss |
| Mixtral-8x7B-Instruct-v0.1-Q3_K_M.gguf | Q3_K_M | 3 | 22.5 GB | very small, high quality loss |
| Mixtral-8x7B-Instruct-v0.1-Q3_K_S.gguf | Q3_K_S | 3 | 20.4 GB | very small, high quality loss |
| Mixtral-8x7B-Instruct-v0.1-Q4_0.gguf | Q4_0 | 4 | 26.4 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Mixtral-8x7B-Instruct-v0.1-Q4_K_M.gguf | Q4_K_M | 4 | 28.4 GB | medium, balanced quality - recommended |
| Mixtral-8x7B-Instruct-v0.1-Q4_K_S.gguf | Q4_K_S | 4 | 26.7 GB | small, greater quality loss |
| Mixtral-8x7B-Instruct-v0.1-Q5_0.gguf | Q5_0 | 5 | 32.2 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Mixtral-8x7B-Instruct-v0.1-Q5_K_M.gguf | Q5_K_M | 5 | 33.2 GB | large, very low quality loss - recommended |
| Mixtral-8x7B-Instruct-v0.1-Q5_K_S.gguf | Q5_K_S | 5 | 32.2 GB | large, low quality loss - recommended |
| Mixtral-8x7B-Instruct-v0.1-Q6_K.gguf | Q6_K | 6 | 38.4 GB | very large, extremely low quality loss |
| Mixtral-8x7B-Instruct-v0.1-Q8_0.gguf | Q8_0 | 8 | 49.6 GB | very large, extremely low quality loss - not recommended |
- Task
- Text Generation
- Library
- transformers
- Type
- mixtral
- License
- apache-2.0
- Languages
- fr, it, de, es, en
- Created
- Jan 1, 2024
- Updated
- Mar 20, 2024