2-bit 3-bit 4-bit 5-bit 6-bit 7b 8-bit Autotrain compatible Base model:maziyarpanahi/bagel... Base model:quantized:maziyarpa... Conversational Endpoints compatible Gguf Instruct Jondurbin/bagel-7b-v0.1 Lazymergekit Merge Mergekit Mistral Mistralai/mistral-7b-instruct-... Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/bagel-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp-GGUF
Bagel 7B V0.1 Mistral 7B Instruct V0.2 Slerp GGUF 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)
Bagel 7B V0.1 Mistral 7B Instruct V0.2 Slerp GGUF Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Bagel 7B V0.1 Mistral 7B Instruct V0.2 Slerp GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/bagel-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp-GGUF |
| Model Name | bagel-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp-GGUF |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.7 GB |
| Updated | 2024-12-26 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Bagel 7B V0.1 Mistral 7B Instruct V0.2 Slerp GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 18 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 2286093 | 71 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 2219547 | 10 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 1000 | 8 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 495 | 7 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 177 | 7 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 115364 | 408 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 66838 | 8 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 43 | 0 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/bagel-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp-GGUF .
Rank the Bagel 7B V0.1 Mistral 7B Instruct V0.2 Slerp GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227