MixTAO 7Bx2 MoE V8.1 AWQ 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)
MixTAO 7Bx2 MoE V8.1 AWQ Parameters and Internals
| LLM Name | MixTAO 7Bx2 MoE V8.1 AWQ |
| Repository 🤗 | https://huggingface.co/Ichigo2899/MixTAO-7Bx2-MoE-v8.1-AWQ |
| Model Size | 2b |
| Required VRAM | 7.1 GB |
| Updated | 2024-09-18 |
| Maintainer | Ichigo2899 |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to MixTAO 7Bx2 MoE V8.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Grc FusionNet 7Bx2 MoE 13B AWQ | 32K / 7.1 GB | 26 | 3 |
| ...r Dolphin Mixtral 2x7b DPO AWQ | 32K / 7.1 GB | 6 | 1 |
| ...r Dolphin Mixtral 2x7b DPO AWQ | 32K / 7.1 GB | 101 | 9 |
| Mixtral 7Bx2 MoE AWQ | 32K / 7.1 GB | 56 | 2 |
| Blue Orchid 2x7b AWQ | 8K / 7.1 GB | 7 | 1 |
| ...rc FusionNet 7Bx2 MoE 13B GPTQ | 32K / 7.1 GB | 23 | 1 |
| Manbasya 2x7b MoE | 32K / 7.1 GB | 62 | 0 |
| ... Dolphin Mixtral 2x7b DPO GPTQ | 32K / 7.1 GB | 153 | 10 |
| Mixtral 7Bx2 MoE GPTQ | 32K / 7.1 GB | 18 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than Ichigo2899/MixTAO-7Bx2-MoE-v8.1-AWQ .
Rank the MixTAO 7Bx2 MoE V8.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803