Uni MoE Audio Base 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)
Uni MoE Audio Base Parameters and Internals
| LLM Name | Uni MoE Audio Base |
| Repository 🤗 | https://huggingface.co/Uni-MoE/Uni-MoE-audio-base |
| Required VRAM | 53.4 GB |
| Updated | 2024-09-07 |
| Maintainer | Uni-MoE |
| Model Type | llava |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlavaLlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Uni MoE Audio Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ConvLLaVA Pretrain 1536 | 4K / 14.9 GB | 9 | 2 |
| ConvLLaVA Sft 1536 | 4K / 14.9 GB | 16 | 0 |
| ConvLLaVA Pretrain 768 | 4K / 14.9 GB | 7 | 1 |
| ConvLLaVA Sft 768 | 4K / 14.9 GB | 4 | 1 |
| Dermatology LLaVA | 4K / 14.7 GB | 23 | 0 |
| Uni MoE Speech Base Interval | 4K / 54.6 GB | 6 | 1 |
| Uni MoE Speech Base | 4K / 80.5 GB | 8 | 1 |
| Qilin Med VL Chat | 4K / 26 GB | 32 | 1 |
| Qilin Med VL | 4K / 26.6 GB | 8 | 4 |
| ...iGraph 100 Percent Lora Merged | 4K / 26.6 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Uni-MoE/Uni-MoE-audio-base .
Rank the Uni MoE Audio Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803