4bit Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3... Conversational Dataset:openai/gsm8k En Endpoints compatible Instruct Llama Model-index Pytorch Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/ReasoningCore-3B-0
ReasoningCore 3B 0 Benchmarks
MMLU Pro: 24.14
GPQA: 3.02
MUSR: 2.56
BBH: 22.17
IFEval: 73.41 vs 88 (so35)-16.6%
MATH Lvl 5: 15.86
LLME Score: 0.29621
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)
ReasoningCore 3B 0 Parameters and Internals
| LLM Name | ReasoningCore 3B 0 |
| Repository 🤗 | https://huggingface.co/EpistemeAI/ReasoningCore-3B-0 |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2025-07-24 |
| Maintainer | EpistemeAI |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to ReasoningCore 3B 0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ama Llama 3.2 3B Instruct FP16 | 128K / 6.5 GB | 1153461 | 0 |
| ...2 3B Instruct Unsloth Bnb 4bit | 128K / 2.4 GB | 114613 | 10 |
| Llama32 3B En Emo 2000 Stp | 128K / 2.2 GB | 15 | 0 |
| Llama32 3B En Emo 300 Stp | 128K / 2.2 GB | 6 | 0 |
| Llama32 3B En Emo 1000 Stp | 128K / 2.2 GB | 5 | 0 |
| Llama32 3B En Emo 5000 Stp | 128K / 2.2 GB | 5 | 0 |
| ...ngCore 3B Instruct R01 Reflect | 128K / 6.5 GB | 0 | 1 |
| ....1 Llama 3.2 3B It Grpo 250404 | 128K / 6.5 GB | 897 | 61 |
| Security Llama3.2 3B | 128K / 6.5 GB | 5 | 0 |
| Llama 3.2 3B Unsloth Bnb 4bit | 128K / 2.4 GB | 10948 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/ReasoningCore-3B-0 .
Rank the ReasoningCore 3B 0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124