4-bit Autotrain compatible Base model:q-bert/metamath-cyb... Base model:quantized:q-bert/me... Dataset:meta-math/metamathqa En Gptq Math Mistral Quantized Region:us Safetensors
Model Card on HF ๐ค: https://huggingface.co/TheBloke/MetaMath-Cybertron-Starling-GPTQ
MetaMath Cybertron Starling 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)
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MetaMath Cybertron Starling GPTQ Parameters and Internals
| LLM Name | MetaMath Cybertron Starling GPTQ |
| Repository ๐ค | https://huggingface.co/TheBloke/MetaMath-Cybertron-Starling-GPTQ |
| Model Name | Metamath Cybertron Starling |
| Model Creator | Talha Rüzgar Akkuล |
| Base Model(s) | |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2025-09-23 |
| 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 | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MetaMath-Cybertron-Starling-GPTQ .
Rank the MetaMath Cybertron Starling GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124