Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gemma Gguf Quantized Region:us Safetensors Sharded Tensorflow
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: 0.23117
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 | 2024-10-18 |
| 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 | 102391 | 669 |
| Gemma 2B | 8K / 5.1 GB | 509686 | 902 |
| Gemma 2B It | 8K / 5.1 GB | 15 | 1 |
| ...mma 2b Sauerkraut Gguf Chunked | 8K / 0.1 GB | 166 | 0 |
| Gemma 2B T | 8K / 5.1 GB | 9 | 0 |
| Gemma 2B It Q | 8K / 1.6 GB | 15 | 1 |
| Gemma 2B It GGUF | 8K / 0.9 GB | 6923 | 4 |
| G2ft V2 | 8K / 5 GB | 14 | 0 |
| Gemma Reformat Text Finetune | 8K / 5.1 GB | 22 | 0 |
| Octopus V2 GGUF | 8K / 1.2 GB | 558 | 6 |
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.
Release v2024072803