Model Card on HF 🤗: https://huggingface.co/PahaII/MM-Alpaca-3B-lora
MM Alpaca 3B 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)
MM Alpaca 3B Lora Parameters and Internals
| LLM Name | MM Alpaca 3B Lora |
| Repository 🤗 | https://huggingface.co/PahaII/MM-Alpaca-3B-lora |
| Model Size | 3b |
| Required VRAM | 0.2 GB |
| Updated | 2025-02-19 |
| Maintainer | PahaII |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|gate_proj|v_proj|up_proj|o_proj|down_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 64 |
Best Alternatives to MM Alpaca 3B Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Granite 3B Mup | 4K / 14 GB | 374 | 0 |
| Llama 3.2 3B Mathdaily Chatbot | 0K / 6.5 GB | 109 | 0 |
| Mamba GPT 3B V2 | 0K / 6.8 GB | 1735 | 16 |
| Qwen2.5 3b Lora Model | 0K / 0.1 GB | 11 | 0 |
| ...ma 3.2 3B It Ecommerce ChatBot | 0K / 6.5 GB | 190 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than PahaII/MM-Alpaca-3B-lora .
Rank the MM Alpaca 3B Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227