Autotrain Autotrain compatible Conversational Endpoints compatible Llama Lora Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Jjjick/BP7
BP7 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)
BP7 Parameters and Internals
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| Additional Notes |
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| Training Details |
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| Input Output |
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| LLM Name | BP7 |
| Repository 🤗 | https://huggingface.co/Jjjick/BP7 |
| Required VRAM | 1.2 GB |
| Updated | 2025-02-16 |
| Maintainer | Jjjick |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | other |
| Model Max Length | 1024 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|k_proj|v_proj|q_proj|gate_proj|down_proj|up_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to BP7
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Fine Tune Sentimental Llama | 0K / 0 GB | 92 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 133 | 7 |
| QuietStar Project | 0K / GB | 4 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 5 | 0 |
| Alphace Email | 0K / 0.1 GB | 7 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 5 | 0 |
| Accel | 0K / 0 GB | 12 | 0 |
| Modelv3 | 0K / 13.5 GB | 5 | 0 |
| Chinese Poetry Generation | 0K / 0 GB | 8 | 0 |
| Partis Goodone | 0K / 16.1 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Jjjick/BP7 .
Rank the BP7 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227