NeuralHermes-2.5-Mistral-7B-mlx
mlx-community/NeuralHermes-2.5-Mistral-7B-mlx
Uncategorised · mlx
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Details
- Base model
- teknium/OpenHermes-2.5-Mistral-7B (finetune)
- Vendor
- teknium
- Task
- Uncategorised
- Quantisation
- Not stated
- Licence
- apache-2.0
- Downloads
- 19 in the last 30 days · 335 all time · 1 likes
- Published
- 2024-01-08 · updated 2024-01-08 (2y ago)
- Languages
- en
- Tags
- mistral, instruct, finetune, chatml, gpt4, synthetic data, distillation, rlhf
Other MLX builds of teknium/OpenHermes-2.5-Mistral-7B
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| CapybaraHermes-2.5-Mistral-7B | — | — | — | 21 |
| NeuralHermes-2.5-Mistral-7B-mlx (this one) | — | — | — | 19 |