Mixtral GQA 400M V2 is an open-source language model by BEE-spoke-data. Features: 400m LLM, VRAM: 4.3GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 20.2, HellaSwag: 27.8, MMLU: 26.1, GSM8K: 0.1.
| Model Type |
| |
| Supported Languages |
|
| LLM Name | Mixtral GQA 400M V2 |
| Repository 🤗 | https://huggingface.co/BEE-spoke-data/Mixtral-GQA-400m-v2 |
| Model Size | 400m |
| Required VRAM | 4.3 GB |
| Updated | 2026-08-13 |
| Maintainer | BEE-spoke-data |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral GQA 400M V4.4096 | 4K / 8.1 GB | 8 | 2 |
| Mixtral Smol 400M | 4K / 25.1 GB | 11 | 0 |