Model Card on HF 🤗: https://huggingface.co/eqhylxx/vicuna-160m
Vicuna 160M 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)
Vicuna 160M Parameters and Internals
| LLM Name | Vicuna 160M |
| Repository 🤗 | https://huggingface.co/eqhylxx/vicuna-160m |
| Model Size | 160m |
| Required VRAM | 0.7 GB |
| Updated | 2025-02-05 |
| Maintainer | eqhylxx |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Vicuna 160M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 160M | 2K / 0 GB | 214699 | 34 |
| Llama 160M Chat V1 | 2K / 0.7 GB | 544 | 19 |
| Doctor Llama 160M | 2K / 0 GB | 18 | 0 |
| TeenyTinyLlama Doc 160M | 2K / 0 GB | 10 | 0 |
| TeenyTinyLlama 160M | 2K / 0.7 GB | 1310 | 6 |
| Vicuna 160M | 2K / 0.7 GB | 222 | 3 |
| Onnx Llama 160M Chat V1 | 2K / GB | 180 | 1 |
| Spider Llama 160M | 2K / 0.7 GB | 127 | 0 |
| Llama 160M Base | 2K / 0 GB | 22 | 0 |
| Full Vicuna 160M | 2K / 0.7 GB | 148 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than eqhylxx/vicuna-160m .
Rank the Vicuna 160M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227