Model Card on HF 🤗: https://huggingface.co/DaYin/llava-v1.5-7b_fgvc_baseline
Llava V1.5 7b Fgvc Baseline 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)
Llava V1.5 7B Fgvc Baseline Parameters and Internals
| LLM Name | Llava V1.5 7b Fgvc Baseline |
| Repository 🤗 | https://huggingface.co/DaYin/llava-v1.5-7b_fgvc_baseline |
| Model Size | 7b |
| Required VRAM | 14.1 GB |
| Updated | 2025-02-22 |
| Maintainer | DaYin |
| 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 | bfloat16 |
Best Alternatives to Llava V1.5 7B Fgvc Baseline
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava Merged Finetuned 7b | 32K / 15.1 GB | 6 | 1 |
| Llava V1.6 Mistral 7B PATCHED | 32K / 15.1 GB | 35 | 8 |
| KoLLaVA V1.5 Synatra 7B | 32K / 15.1 GB | 212 | 8 |
| Llava V1.5 7B | 4K / 13.5 GB | 553813 | 415 |
| Llava V1.6 Vicuna 7B | 4K / 14.1 GB | 36623 | 109 |
| LLaVA NeXT Video 7B DPO | 4K / 14.2 GB | 11034 | 25 |
| Vip Llava 7B | 4K / 14.2 GB | 68375 | 7 |
| Llava Next Vicuna 7B M3 | 4K / 14.1 GB | 621 | 3 |
| Video LLaVA 7B | 4K / 15 GB | 24133 | 82 |
| Table Llava V1.5 7B | 4K / 14.2 GB | 141 | 11 |
Note: green Score (e.g. "73.2") means that the model is better than DaYin/llava-v1.5-7b_fgvc_baseline .
Rank the Llava V1.5 7B Fgvc Baseline Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227