Model Card on HF 🤗: https://huggingface.co/bfshi/llava-v1.5-7b-s2-lora
Llava V1.5 7B S2 Lora 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 S2 Lora Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Llava V1.5 7B S2 Lora |
| Repository 🤗 | https://huggingface.co/bfshi/llava-v1.5-7b-s2-lora |
| Model Size | 7b |
| Required VRAM | 0.1 GB |
| Updated | 2025-09-13 |
| Maintainer | bfshi |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|gate_proj|k_proj|up_proj|v_proj|o_proj|q_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Llava V1.5 7B S2 Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
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| Mistral 7B V0.3 | 32K / 14.5 GB | 1172 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 25 | 5 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 8 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 700 | 3 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 59 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 30 | 2 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 8 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 6 | 1 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 4 | 1 |
| LlamaGuard 7B | 4K / 13.5 GB | 9582 | 239 |
Note: green Score (e.g. "73.2") means that the model is better than bfshi/llava-v1.5-7b-s2-lora .
Rank the Llava V1.5 7B S2 Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124