Base model:finetune:mistralai/... Base model:mistralai/mixtral-8... Chatml Distillation Dpo En Finetuned Gpt4 Instruct Mixtral Mlx Moe Region:us Rlhf Safetensors Sharded Synthetic data Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx
NousHermes Mixtral 8x7B Reddit Mlx Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
NousHermes Mixtral 8x7B Reddit Mlx Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | NousHermes Mixtral 8x7B Reddit Mlx |
| Repository 🤗 | https://huggingface.co/mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx |
| Base Model(s) | |
| Model Size | 7.5b |
| Required VRAM | 26.6 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to NousHermes Mixtral 8x7B Reddit Mlx
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SJT Moe2x7.5B | 32K / 21.1 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124