4-bit Autotrain compatible Base model:cloudyu/mixtral 34b... Base model:quantized:cloudyu/m... Gptq Mixtral Moe Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ
Mixtral 34Bx2 MoE 60B GPTQ 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 34Bx2 MoE 60B GPTQ Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Mixtral 34Bx2 MoE 60B GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ |
| Model Name | Mixtral 34Bx2 MoE 60B |
| Model Creator | hai |
| Base Model(s) | |
| Model Size | 8.4b |
| Required VRAM | 31.8 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mixtral 34Bx2 MoE 60B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Bagel Hermes 2x34b GPTQ | 195K / 31.8 GB | 12 | 2 |
| FusionNet 34Bx2 MoE GPTQ | 32K / 31.8 GB | 9 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124