MetaMath Cybertron Starling AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:q-bert/metamath-cyb... Base model:quantized:q-bert/me...   Dataset:meta-math/metamathqa   En   Math   Mistral   Quantized   Region:us   Safetensors

MetaMath Cybertron Starling AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MetaMath Cybertron Starling AWQ (TheBloke/MetaMath-Cybertron-Starling-AWQ)
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MetaMath Cybertron Starling AWQ Parameters and Internals

LLM NameMetaMath Cybertron Starling AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/MetaMath-Cybertron-Starling-AWQ 
Model NameMetamath Cybertron Starling
Model CreatorTalha Rüzgar AkkuลŸ
Base Model(s)  MetaMath Cybertron Starling   Q-bert/MetaMath-Cybertron-Starling
Model Size1.2b
Required VRAM4.2 GB
Updated2025-08-19
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MetaMath-Cybertron-Starling-AWQ.

Rank the MetaMath Cybertron Starling AWQ Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124