Model Card on HF 🤗: https://huggingface.co/pingzhili/mixtral-debug
Mixtral Debug 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 Debug Parameters and Internals
| LLM Name | Mixtral Debug |
| Repository 🤗 | https://huggingface.co/pingzhili/mixtral-debug |
| Model Size | 6.5m |
| Required VRAM | 0 GB |
| Updated | 2025-09-23 |
| Maintainer | Phando |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mixtral Debug
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral Debug | 32K / 0 GB | 6 | 0 |
| Mixtral Instruct MLFlowV4 | 32K / 24.7 GB | 7 | 1 |
| ...x7B V0.1 OmniQuantv2 W4a16g128 | 32K / 24.7 GB | 7 | 1 |
| ...uct V0.1 OmniQuantv1 W4a16g128 | 32K / 24.7 GB | 7 | 1 |
| ...nstruct V0.1 AQLM 2Bit 1x16 Hf | 32K / 13.1 GB | 12 | 18 |
| Mixtral 8x7b AQLM 2Bit 1x16 Hf | 32K / 13.1 GB | 22 | 23 |
| ...QLM 2Bit 1x16 Hf Test Dispatch | 32K / 13.1 GB | 8 | 3 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 11814 | 58 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 7363 | 23 |
| ...kaLM Mixtral 8x7B V0.2 DPO AWQ | 32K / 24.7 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than pingzhili/mixtral-debug .
Rank the Mixtral Debug Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124