4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Code generation Conversational Dataset:phongo/regex En Endpoints compatible Gguf Instruct Llama Pytorch Quantized Regex Region:us
Model Card on HF 🤗: https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B
Regex AI Llama 3.2 1B 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)
Regex AI Llama 3.2 1B Parameters and Internals
| LLM Name | Regex AI Llama 3.2 1B |
| Repository 🤗 | https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B |
| Base Model(s) | |
| Model Size | 1b |
| Required VRAM | 0.8 GB |
| Updated | 2025-09-23 |
| Maintainer | mishl |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Regex AI Llama 3.2 1B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.2 1B Instruct GGUF | 128K / 0.4 GB | 20028 | 41 |
| Llama 3.2 SUN 1B Chat | 128K / 1.6 GB | 16 | 2 |
| Llama 3.2 1B | 128K / 0.9 GB | 95 | 0 |
| ...2 1B Instruct Unsloth Bnb 4bit | 128K / 1.1 GB | 28385 | 3 |
| Llama 3.2 1B Instruct Bnb 4bit | 128K / 1 GB | 29837 | 17 |
| ...truct Gptqmodel 4bit Vortex V1 | 128K / 1.6 GB | 1231 | 2 |
| Llama 3.2 1B Instruct 4bit | 128K / 0.7 GB | 23221 | 15 |
| Llama 3.2 1B Instruct Chat Sft | 128K / 2.5 GB | 6 | 0 |
| Orca Mini V9 5 1B Instruct | 128K / 2.5 GB | 7 | 4 |
| Llama3.2 1b 2025 Uncensored V2 | 128K / 1.3 GB | 1345 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than mishl/Regex-AI-Llama-3.2-1B .
Rank the Regex AI Llama 3.2 1B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124