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Mistral-7B-v0.1-ORPO-GGUF
bartowski/Mistral-7B-v0.1-ORPO-GGUF
Mistral-7B-v0.1-ORPO-GGUF is a text generation model from bartowski. 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.
Using <a href="https://github.com/ggerganov/llama.cpp/"llama.cpp</a release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440"b2440</a for quantization.
All-time downloads
13.1K
Public
Repo size
69.2 GB
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1
Public
Repo makeup
Click a slice to open those files.
.gguf69.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- fba61404
Try a prompt
Base models
Model card
From the Hugging Face model README
Llamacpp Quantizations of Mistral-7B-v0.1-ORPO
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization.
Original model: https://huggingface.co/alvarobartt/Mistral-7B-v0.1-ORPO
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Mistral-7B-v0.1-ORPO-Q8_0.gguf | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
| Mistral-7B-v0.1-ORPO-Q6_K.gguf | Q6_K | 5.94GB | Very high quality, near perfect, recommended. |
| Mistral-7B-v0.1-ORPO-Q5_K_M.gguf | Q5_K_M | 5.13GB | High quality, very usable. |
| Mistral-7B-v0.1-ORPO-Q5_K_S.gguf | Q5_K_S | 4.99GB | High quality, very usable. |
| Mistral-7B-v0.1-ORPO-Q5_0.gguf | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| Mistral-7B-v0.1-ORPO-Q4_K_M.gguf | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
| Mistral-7B-v0.1-ORPO-Q4_K_S.gguf | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
| Mistral-7B-v0.1-ORPO-IQ4_NL.gguf | IQ4_NL | 4.15GB | Good quality, similar to Q4_K_S, new method of quanting, |
| Mistral-7B-v0.1-ORPO-IQ4_XS.gguf | IQ4_XS | 3.94GB | Decent quality, new method with similar performance to Q4. |
| Mistral-7B-v0.1-ORPO-Q4_0.gguf | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| Mistral-7B-v0.1-ORPO-IQ3_M.gguf | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance. |
| Mistral-7B-v0.1-ORPO-IQ3_S.gguf | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
| Mistral-7B-v0.1-ORPO-Q3_K_L.gguf | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
| Mistral-7B-v0.1-ORPO-Q3_K_M.gguf | Q3_K_M | 3.51GB | Even lower quality. |
| Mistral-7B-v0.1-ORPO-Q3_K_S.gguf | Q3_K_S | 3.16GB | Low quality, not recommended. |
| Mistral-7B-v0.1-ORPO-Q2_K.gguf | Q2_K | 2.71GB | Extremely low quality, not recommended. |
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024