4-bit 4bit Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Bitsandbytes Conversational En Endpoints compatible Llama Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/acbdkk/SupaMATH
SupaMATH 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)
SupaMATH Parameters and Internals
| Model Type |
| |
| Additional Notes |
| |
| Supported Languages |
|
| LLM Name | SupaMATH |
| Repository 🤗 | https://huggingface.co/acbdkk/SupaMATH |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.6 GB |
| Updated | 2025-10-14 |
| Maintainer | acbdkk |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to SupaMATH
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SJT 8B | 128K / 17.8 GB | 3 | 1 |
| Sailor2 L 8B | 128K / 17.1 GB | 6 | 0 |
| Sailor2 8B Chat | 4K / 17.1 GB | 1251 | 20 |
| BloomVN 8B Chat | 32K / 17.1 GB | 4 | 4 |
| Sailor2 8B Chat Uncensored | 32K / 17.1 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than acbdkk/SupaMATH .
Rank the SupaMATH Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124