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OpenELM-3B-Instruct-GGUFs
QuietImpostor/OpenELM-3B-Instruct-GGUFs
OpenELM-3B-Instruct-GGUFs is a machine learning model from QuietImpostor. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apple-ascl.
After a long wait, Llama.cpp (b3324) finally supports OpenELM, and that means OpenELM GGUFs! iMatrix quants are here!
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.gguf62.7 GB · 100%
At a glance
- License
- apple-ascl
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Dec 5, 2024
- SHA
- 8200e1c2
Base models
Model card
From the Hugging Face model README
OpenELM 3B Instruct GGUFs
After a long wait, Llama.cpp (b3324) finally supports OpenELM, and that means OpenELM GGUFs! iMatrix quants are here!
Download the GGUFs below!
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| OpenELM-3B-Instruct-F32.gguf | F32 | 11.31 GB | Full precision, 32-bit floating point. Largest file size, baseline quality. |
| OpenELM-3B-Instruct-F16.gguf | F16 | 5.66 GB | Full precision, 16-bit floating point. Very large file size, highest quality. |
| OpenELM-3B-Instruct-Q8_0.gguf | Q8_0 | 3.01 GB | Extremely high quality, generally unneeded but max available quant. |
| OpenELM-3B-Instruct-Q6_K.gguf | Q6_K | 2.32 GB | Very high quality, near perfect, recommended. |
| OpenELM-3B-Instruct-Q5_K_M.gguf | Q5_K_M | 2.06 GB | High quality, recommended. |
| OpenELM-3B-Instruct-Q5_K_S.gguf | Q5_K_S | 1.96 GB | High quality, recommended. |
| OpenELM-3B-Instruct-Q5_1.gguf | Q5_1 | 2.13 GB | High quality, improved 5-bit quantization. |
| OpenELM-3B-Instruct-Q5_0.gguf | Q5_0 | 1.96 GB | High quality, alternative 5-bit quantization. |
| OpenELM-3B-Instruct-Q4_K_M.gguf | Q4_K_M | 1.76 GB | Good quality, recommended. |
| OpenELM-3B-Instruct-Q4_K_S.gguf | Q4_K_S | 1.62 GB | Slightly lower quality with more space savings, recommended. |
| OpenELM-3B-Instruct-Q4_1.gguf | Q4_1 | 1.79 GB | Good quality, improved 4-bit quantization. |
| OpenELM-3B-Instruct-Q4_0.gguf | Q4_0 | 1.62 GB | Good quality, older 4-bit quantization. |
| OpenELM-3B-Instruct-IQ4_XS.gguf | IQ4_XS | 1.54 GB | Decent quality, smaller than Q4_K_S with similar performance, recommended. |
| OpenELM-3B-Instruct-Q3_K_L.gguf | Q3_K_L | 1.55 GB | Lower quality but usable, good for low RAM availability. |
| OpenELM-3B-Instruct-Q3_K_M.gguf | Q3_K_M | 1.43 GB | Even lower quality. |
| OpenELM-3B-Instruct-IQ3_M.gguf | IQ3_M | 1.34 GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| OpenELM-3B-Instruct-IQ3_XS.gguf | IQ3_XS | 1.20 GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| OpenELM-3B-Instruct-Q3_K_S.gguf | Q3_K_S | 1.25 GB | Low quality, not recommended. |
| OpenELM-3B-Instruct-IQ3_XXS.gguf | IQ3_XXS | 1.16 GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
| OpenELM-3B-Instruct-Q2_K.gguf | Q2_K | 1.07 GB | Very low quality but surprisingly usable. |
| OpenELM-3B-Instruct-IQ2_M.gguf | IQ2_M | 0.97 GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
| OpenELM-3B-Instruct-IQ2_S.gguf | IQ2_S | 0.89 GB | Very low quality, uses SOTA techniques to be usable. |
| OpenELM-3B-Instruct-IQ2_XS.gguf | IQ2_XS | 0.86 GB | Very low quality, uses SOTA techniques to be usable. |
| OpenELM-3B-Instruct-IQ2_XXS.gguf | IQ2_XXS | 0.77 GB | Extremely low quality, smallest 2-bit quantization. |
| OpenELM-3B-Instruct-IQ1_M.gguf | IQ1_M | 0.68 GB | Extremely low quality, 1-bit quantization. |
| OpenELM-3B-Instruct-IQ1_S.gguf | IQ1_S | 0.62 GB | Extremely low quality, smallest possible 1-bit quantization. |
- License
- apple-ascl
- Languages
- en
- Created
- Jul 5, 2024
- Updated
- Dec 5, 2024