Autotrain compatible Conversational Endpoints compatible Exl2 Mixtral Moe Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Mixtral_11Bx2_MoE_19B-3.0bpw-h6-exl2
Mixtral 11Bx2 MoE 19B 3.0bpw H6 EXL2 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)
Mixtral 11Bx2 MoE 19B 3.0bpw H6 EXL2 Parameters and Internals
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| LLM Name | Mixtral 11Bx2 MoE 19B 3.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Mixtral_11Bx2_MoE_19B-3.0bpw-h6-exl2 |
| Model Size | 19b |
| Required VRAM | 7.5 GB |
| Updated | 2025-09-23 |
| Maintainer | LoneStriker |
| Model Type | mixtral |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 11Bx2 MoE 19B 3.0bpw H6 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...l 11Bx2 MoE 19B 8.0bpw H8 EXL2 | 4K / 19.4 GB | 5 | 1 |
| 19B TRUTH DPO | 4K / 38.4 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Mixtral_11Bx2_MoE_19B-3.0bpw-h6-exl2 .
Rank the Mixtral 11Bx2 MoE 19B 3.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124