4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... En Endpoints compatible Gguf License:apache-2.0 Mistral Quantized Region:us Unsloth
Atuin V.01 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)
Atuin V.01 Parameters and Internals
| LLM Name | Atuin V.01 |
| Repository 🤗 | https://huggingface.co/nihil117/atuin_v.01 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2024-07-23 |
| Maintainer | nihil117 |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Atuin V.01
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 18 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1971539 | 63 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 2133194 | 10 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 1906232 | 74 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 142204 | 398 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 58270 | 7 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 184204 | 512 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than nihil117/atuin_v.01 .
Rank the Atuin V.01 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? 38311 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110