EDGE 0 7B 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)
EDGE 0 7B GGML Parameters and Internals
| LLM Name | EDGE 0 7B GGML |
| Repository 🤗 | https://huggingface.co/EDGE-AI/EDGE_0-7B_GGML |
| Model Size | 7b |
| Required VRAM | 2.9 GB |
| Updated | 2024-09-16 |
| Maintainer | EDGE-AI |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | other |
Best Alternatives to EDGE 0 7B GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 2 7B Chat GGML | 0K / 2.9 GB | 2849 | 843 |
| Llama 2 GGML Medical Chatbot | 0K / GB | 35 | 16 |
| Llama 2 7B GGML | 0K / 2.9 GB | 150 | 216 |
| CodeLlama 7B GGML | 0K / 3 GB | 6 | 27 |
| CodeLlama 7B Python GGML | 0K / 2.9 GB | 18 | 23 |
| CodeLlama 7B Instruct GGML | 0K / 3 GB | 15 | 20 |
| Yarn Llama 2 7B 128K GGML | 0K / 2.9 GB | 2 | 6 |
| Yarn Llama 2 7B 64K GGML | 0K / 2.9 GB | 0 | 3 |
| Airoboros L2 7B 2.1 GGML | 0K / 2.9 GB | 1 | 1 |
| Zarafusionex 1.1 L2 7B GGML | 0K / 2.9 GB | 1 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than EDGE-AI/EDGE_0-7B_GGML .
Rank the EDGE 0 7B GGML Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35941 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803