Evalalign V1.0 13B 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)
Evalalign V1.0 13B Parameters and Internals
| LLM Name | Evalalign V1.0 13B |
| Repository 🤗 | https://huggingface.co/Fudan-FUXI/evalalign-v1.0-13b |
| Model Size | 13b |
| Required VRAM | 26.7 GB |
| Updated | 2024-09-07 |
| Maintainer | Fudan-FUXI |
| Model Type | llava_llama |
| Model Files | |
| Model Architecture | LlavaLlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Evalalign V1.0 13B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava V1.5 13B | 4K / 26 GB | 326154 | 457 |
| Llava V1.6 Vicuna 13B | 4K / 26.7 GB | 23203 | 45 |
| Table Llava V1.5 13B | 4K / 26.6 GB | 51 | 1 |
| Peenoblanc 52 Llava | 4K / 26.7 GB | 5 | 0 |
| Otterchecker | 4K / 26.7 GB | 5 | 2 |
| Llava 13B Custom | 4K / 26.7 GB | 5 | 0 |
| V Mllm 13B | 4K / 26.6 GB | 6 | 0 |
| Posterllava V0 | 4K / 26.6 GB | 230 | 3 |
| ...roduct Taxonomy Llava V1.6 13B | 4K / 26.7 GB | 19 | 0 |
| Som Llava V1.5 13B | 4K / 26.7 GB | 13 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than Fudan-FUXI/evalalign-v1.0-13b .
Rank the Evalalign V1.0 13B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803