4bit Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-... En Endpoints compatible Gemma2 Instruct Pytorch Quantized Region:us Safetensors Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/qingy2024/GRMR-2B-Instruct
GRMR 2B Instruct 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)
GRMR 2B Instruct Parameters and Internals
| LLM Name | GRMR 2B Instruct |
| Repository 🤗 | https://huggingface.co/qingy2024/GRMR-2B-Instruct |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 5.2 GB |
| Updated | 2024-12-21 |
| Maintainer | qingy2024 |
| Model Type | gemma2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Gemma2ForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to GRMR 2B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| GRMR 2B Instruct Old | 8K / 5.2 GB | 85 | 13 |
| Gemma 2 2B Id Instruct | 8K / 5.2 GB | 75 | 0 |
| Gemma 2 2B Opus Instruct | 8K / 5.2 GB | 17 | 0 |
| Vikhr Gemma 2B Instruct | 8K / 10.5 GB | 678 | 15 |
Rank the GRMR 2B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217