Model Card on HF 🤗: https://huggingface.co/RodoBP/otterchecker
Otterchecker 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)
Otterchecker Parameters and Internals
| LLM Name | Otterchecker |
| Repository 🤗 | https://huggingface.co/RodoBP/otterchecker |
| Model Size | 13b |
| Required VRAM | 26.7 GB |
| Updated | 2025-02-05 |
| Maintainer | RodoBP |
| Model Type | llava_llama |
| Model Files | |
| Model Architecture | LlavaLlamaForCausalLM |
| 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 Otterchecker
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava V1.5 13B | 4K / 26 GB | 135410 | 496 |
| Llava V1.6 Vicuna 13B | 4K / 26.7 GB | 14373 | 54 |
| Llava CoS 13B | 4K / 26.6 GB | 6227 | 1 |
| Evalalign V1.0 13B | 4K / 26.7 GB | 88 | 1 |
| Table Llava V1.5 13B | 4K / 26.6 GB | 25 | 1 |
| Peenoblanc 52 Llava | 4K / 26.7 GB | 6 | 0 |
| Llava 13B Custom | 4K / 26.7 GB | 5 | 0 |
| V Mllm 13B | 4K / 26.6 GB | 4 | 1 |
| ...roduct Taxonomy Llava V1.6 13B | 4K / 26.7 GB | 11 | 0 |
| Posterllava V0 | 4K / 26.6 GB | 31 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than RodoBP/otterchecker .
Rank the Otterchecker Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 42577 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227