4bit Conversational Dataset:theprint/vanrossum-gpt En Endpoints compatible Gguf Instruct Llama Lora Model-index Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/theprint/Llama-3.2-3B-VanRossum
Llama 3.2 3B VanRossum Benchmarks
MMLU Pro: 19.67
GPQA: 2.35
MUSR: 6.55
BBH: 19.37
IFEval: 47.83 vs 88 (so35)-45.6%
MATH Lvl 5: 9.74
LLME Score: 0.24631
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)
Llama 3.2 3B VanRossum Parameters and Internals
| LLM Name | Llama 3.2 3B VanRossum |
| Repository 🤗 | https://huggingface.co/theprint/Llama-3.2-3B-VanRossum |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2025-09-23 |
| Maintainer | theprint |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | 4bit|gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 8 |
Best Alternatives to Llama 3.2 3B VanRossum
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama32 3B En Emo V3 | 128K / 2 GB | 13 | 0 |
| Legal Llama3 Lora Model | 0K / 3.4 GB | 15 | 0 |
| MedQwen3B Reasoner | 0K / 6.2 GB | 237 | 13 |
| ...a Song Stream 3B Instruct GGUF | 0K / 2 GB | 208 | 6 |
| QwQ LCoT 3B Instruct GGUF | 0K / 1.9 GB | 86 | 7 |
| ...ma Magpie 3.2 3B Instruct GGUF | 0K / 2 GB | 125 | 2 |
| ... Sentient 3.2 3B Instruct GGUF | 0K / 2 GB | 129 | 8 |
| ...ma Doctor 3.2 3B Instruct GGUF | 0K / 2 GB | 84 | 7 |
| Llama 3.2 3B Instruct GGUF | 0K / 2 GB | 53 | 2 |
| Granite 3B Code Instruct GGUF | 0K / 1.3 GB | 5158 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than theprint/Llama-3.2-3B-VanRossum .
Rank the Llama 3.2 3B VanRossum Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124