4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Gguf Instruct Mistral Quantized Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/howdi2000/dell_v7-gguf
Dell V7 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)
Dell V7 Gguf Parameters and Internals
| LLM Name | Dell V7 Gguf |
| Repository 🤗 | https://huggingface.co/howdi2000/dell_v7-gguf |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.7 GB |
| Updated | 2025-02-11 |
| Maintainer | howdi2000 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Dell V7 Gguf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1458944 | 79 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1034279 | 11 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 70462 | 9 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 274 | 9 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 187 | 9 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 54 | 0 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 124 | 8 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 89010 | 422 |
Note: green Score (e.g. "73.2") means that the model is better than howdi2000/dell_v7-gguf .
Rank the Dell V7 Gguf 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? 43470 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227