4bit Base model:quantized:unsloth/z... Base model:unsloth/zephyr-sft-... Conversational En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/zephq
Zephq 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)
Zephq Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| LLM Name | Zephq |
| Repository 🤗 | https://huggingface.co/Daemontatox/zephq |
| Base Model(s) | |
| Required VRAM | 4.4 GB |
| Updated | 2024-12-03 |
| Maintainer | Ammartatox |
| 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 Zephq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ComicBot V.2 Gguf | 32K / 5 GB | 14 | 0 |
| Marco O1 GGUF | 0K / 3 GB | 2385 | 11 |
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 65160 | 606 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 16865 | 299 |
| Mixtral 8x7B V0.1 GGUF | 0K / 15.6 GB | 4903 | 423 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8066 | 135 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 1517 | 16 |
| Phi 2 GGUF | 0K / 1.2 GB | 3643 | 192 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 14 | 3 |
| Open Gpt4 8x7B GGUF | 0K / 15.6 GB | 11340 | 18 |
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/zephq .
Rank the Zephq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217