4-bit Base model:jan-hq/supermario-v... Base model:quantized:jan-hq/su... En Gptq Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/supermario-v2-GPTQ
Supermario V2 GPTQ 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)
Supermario V2 GPTQ Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Supermario V2 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/supermario-v2-GPTQ |
| Model Name | Supermario V2 |
| Model Creator | Jan |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 4.2 GB |
| Updated | 2026-02-01 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Supermario V2 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| HamSter 0.1 GPTQ | 32K / 4.2 GB | 33 | 2 |
| ...h Openchat 3.5 1210 Slerp GPTQ | 32K / 4.2 GB | 1 | 1 |
| Valkyrie V1 GPTQ | 32K / 4.2 GB | 23 | 0 |
| Apricot Wildflower 20 GPTQ | 32K / 4.2 GB | 1 | 1 |
| Quantum V0.01 GPTQ | 32K / 4.2 GB | 26 | 2 |
| Metis 0.3 GPTQ | 32K / 4.2 GB | 19 | 1 |
| Metis 0.1 GPTQ | 32K / 4.2 GB | 16 | 1 |
| ....5 Neural Chat V3.3 Slerp GPTQ | 32K / 4.2 GB | 12 | 3 |
| ...taMath Cybertron Starling GPTQ | 32K / 4.2 GB | 4 | 1 |
| Em German Mistral V01 GPTQ | 32K / 4.2 GB | 3 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/supermario-v2-GPTQ .
Rank the Supermario V2 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124