Merged Model Base model:quantized:v1olet/v1... Base model:v1olet/v1olet marco... En Gguf Mistral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/v1olet_marcoroni-go-bruins-merge-7B-GGUF
V1olet Marcoroni Go Bruins Merge 7B 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)
V1olet Marcoroni Go Bruins Merge 7B GGUF Parameters and Internals
| Model Type |
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| Input Output |
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| LLM Name | V1olet Marcoroni Go Bruins Merge 7B GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/v1olet_marcoroni-go-bruins-merge-7B-GGUF |
| Model Name | V1Olet Marcoroni Go Bruins Merge 7B |
| Model Creator | Trong-Hieu Nguyen-Mau |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 3.1 GB |
| Updated | 2025-09-14 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to V1olet Marcoroni Go Bruins Merge 7B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 147354 | 112 |
| Conversely Mistral 7B | 0K / 0.2 GB | 73 | 0 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 119760 | 11 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 120401 | 82 |
| CleverBoi 7B V2 | 0K / 0.1 GB | 165 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 108374 | 459 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 30 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 185168 | 602 |
| Deepthink Reasoning 7B GGUF | 0K / 4.7 GB | 405 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/v1olet_marcoroni-go-bruins-merge-7B-GGUF .
Rank the V1olet Marcoroni Go Bruins Merge 7B GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124