Finetuned Llava 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)
Finetuned Llava Lora Parameters and Internals
| LLM Name | Finetuned Llava Lora |
| Repository 🤗 | https://huggingface.co/yetesam/finetuned_llava_lora |
| Required VRAM | 0.1 GB |
| Updated | 2024-09-07 |
| Maintainer | yetesam |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|down_proj|v_proj|q_proj|gate_proj|up_proj|o_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Finetuned Llava Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tiny Llama Miniguanaco | 2K / 2.2 GB | 3 | 1 |
| VLM2Vec LoRA | 0K / 0 GB | 70 | 6 |
| QuietStar Project | 0K / GB | 2 | 1 |
| Alphace Email | 0K / 0.1 GB | 5 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 5 | 0 |
| Modelv3 | 0K / 13.5 GB | 5 | 0 |
| Accel | 0K / 0 GB | 5 | 0 |
| Chinese Poetry Generation | 0K / 0 GB | 8 | 0 |
| Partis Goodone | 0K / 16.1 GB | 1 | 1 |
| Ai Script5 | 0K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than yetesam/finetuned_llava_lora .
Rank the Finetuned Llava Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803