RadLLaMA 7B is an open-source language model by StanfordAIMI. Features: 7b LLM, VRAM: 27.1GB, Context: 4K, License: llama2, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/StanfordAIMI/RadLLaMA-7b
RadLLaMA 7B 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)
RadLLaMA 7B Parameters and Internals
| Model Type |
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| Release Notes |
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| LLM Name | RadLLaMA 7B |
| Repository 🤗 | https://huggingface.co/StanfordAIMI/RadLLaMA-7b |
| Model Size | 7b |
| Required VRAM | 27.1 GB |
| Updated | 2026-04-15 |
| Maintainer | StanfordAIMI |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | CheXagentTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to RadLLaMA 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 124 | 1024K / 16.1 GB | 93 | 0 |
| 162 | 1024K / 16.1 GB | 60 | 0 |
| 157 | 1024K / 16.1 GB | 101 | 0 |
| 118 | 1024K / 16.1 GB | 15 | 0 |
| A5.4 | 1024K / 16.1 GB | 12 | 0 |
| A6 L | 1024K / 16.1 GB | 201 | 0 |
| A3.4 | 1024K / 16.1 GB | 13 | 0 |
| A2.4 | 1024K / 16.1 GB | 12 | 0 |
| M | 1024K / 16.1 GB | 127 | 0 |
| 2 Very Sci Fi | 1024K / 16.1 GB | 317 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than StanfordAIMI/RadLLaMA-7b .
Rank the RadLLaMA 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a