Medguanaco Lora 65B GPTQ 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)
Medguanaco Lora 65B GPTQ Parameters and Internals
| LLM Name | Medguanaco Lora 65B GPTQ |
| Repository 🤗 | https://huggingface.co/nmitchko/medguanaco-lora-65b-GPTQ |
| Model Size | 65b |
| Required VRAM | 0.3 GB |
| Updated | 2024-09-18 |
| Maintainer | nmitchko |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | AutoModel |
| License | cc |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Best Alternatives to Medguanaco Lora 65B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...en Instruct Human Mix 65B GGUF | 0K / 27 GB | 50 | 1 |
| LLaMA 65B GGUF | 0K / 27 GB | 270 | 5 |
| ...stage Llama1 65B Instruct GGUF | 0K / 27 GB | 214 | 1 |
| Guanaco 65B GGUF | 0K / 27 GB | 134 | 5 |
| Airoboros 65B GPT4 2.0 GGML | 0K / 27.5 GB | 0 | 2 |
| Airoboros 65B GPT4 M2.0 GGML | 0K / 27.5 GB | 0 | 2 |
| ...stage Llama1 65B Instruct GGML | 0K / 27.5 GB | 6 | 5 |
| LLaMa 65B GGML | 0K / 27.3 GB | 0 | 25 |
Note: green Score (e.g. "73.2") means that the model is better than nmitchko/medguanaco-lora-65b-GPTQ .
Rank the Medguanaco Lora 65B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803