Arxiv:2306.05685 Arxiv:2307.09288 Base model:finetune:lmsys/vicu... Base model:lmsys/vicuna-7b-v1.... Ggml Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGML
Vicuna 7B V1.5 GGML 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 7B V1.5 GGML Parameters and Internals
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| Training Details |
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| LLM Name | Vicuna 7B V1.5 GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGML |
| Model Name | Vicuna 7B v1.5 |
| Model Creator | lmsys |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.9 GB |
| Updated | 2025-03-13 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to Vicuna 7B V1.5 GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 2 7B Chat GGML | 0K / 2.9 GB | 3430 | 871 |
| Llama 2 GGML Medical Chatbot | 0K / GB | 190 | 35 |
| Llama 2 7B GGML | 0K / 2.9 GB | 523 | 220 |
| CodeLlama 7B GGML | 0K / 3 GB | 44 | 27 |
| CodeLlama 7B Python GGML | 0K / 2.9 GB | 42 | 23 |
| Yarn Llama 2 7B 128K GGML | 0K / 2.9 GB | 14 | 6 |
| CodeLlama 7B Instruct GGML | 0K / 3 GB | 43 | 20 |
| Yarn Llama 2 7B 64K GGML | 0K / 2.9 GB | 12 | 3 |
| Airoboros L2 7B 2.1 GGML | 0K / 2.9 GB | 11 | 1 |
| EDGE 0 7B GGML | 0K / 2.9 GB | 15 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-7B-v1.5-GGML .
Rank the Vicuna 7B V1.5 GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227