Adapter Autotrain Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-... Finetuned Ggml Lora Meta-llama Meta-llama/llama-2-7b-hf Peft Quantized Region:us Tensorboard
Model Card on HF 🤗: https://huggingface.co/Ashishkr/llama-2-medical-consultation
Llama 2 Medical Consultation 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)
Llama 2 Medical Consultation Parameters and Internals
| Model Type |
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| Additional Notes |
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| Input Output |
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| LLM Name | Llama 2 Medical Consultation |
| Repository 🤗 | https://huggingface.co/Ashishkr/llama-2-medical-consultation |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2025-09-23 |
| Maintainer | Ashishkr |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | Adapter |
| Model Max Length | 1024 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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| Gemma7b SFT | 0K / 0 GB | 19 | 0 |
| Gemma7b SFT | 0K / 0 GB | 5 | 0 |
| RP Format Test | 0K / 0.7 GB | 4 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than Ashishkr/llama-2-medical-consultation .
Rank the Llama 2 Medical Consultation Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124