Gemma 2B It Code is an open-source language model by nervmouse. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, Quantized, HF Score: 45.7, LLM Explorer Score: 0.16, Arc: 49, HellaSwag: 71.4, MMLU: 37, TruthfulQA: 33.5, WinoGrande: 66.9, GSM8K: 16.1.
Arxiv:1910.09700 Conversational Endpoints compatible Gemma Gguf Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nervmouse/gemma-2b-it-code
Gemma 2B It Code Benchmarks
ARC: 48.98 vs 96.7 (so35)-49.3%
HellaSwag: 71.43 vs 95.3 (gpt4)-25%
MMLU: 37.02 vs 88.3 (so35)-58.1%
TruthfulQA: 33.54 vs 59 (gpt4)-43.2%
WinoGrande: 66.85 vs 87.5 (gpt4)-23.6%
GSM8K: 16.07 vs 96.4 (so35)-83.3%
LLME Score: 0.1596
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)
Gemma 2B It Code Parameters and Internals
| LLM Name | Gemma 2B It Code |
| Repository 🤗 | https://huggingface.co/nervmouse/gemma-2b-it-code |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2026-02-18 |
| Maintainer | nervmouse |
| Model Type | gemma |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Gemma 2B It Code
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2B It | 8K / 5.1 GB | 56607 | 863 |
| Gemma 2B | 8K / 5.1 GB | 184915 | 1091 |
| Gemma 2B It | 8K / 1.5 GB | 17 | 0 |
| Gemma 2B It | 8K / 5.1 GB | 34 | 1 |
| Gemma 2B T | 8K / 5.1 GB | 12 | 0 |
| Gemma 2B It Q | 8K / 1.6 GB | 27 | 1 |
| Gemma Help Tiny Sft | 8K / 5.1 GB | 14 | 1 |
| Gemma 2B It Q4 K M GGUF | 8K / 1.6 GB | 1412 | 5 |
| GemSUra Edu | 8K / 5 GB | 76 | 0 |
| ...mma 2b Sauerkraut Gguf Chunked | 8K / 0.1 GB | 75 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than nervmouse/gemma-2b-it-code .
Rank the Gemma 2B It Code Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a