Merged Model 4-bit 4bit Autotrain compatible Bitsandbytes Endpoints compatible Gemma Lora Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ihughes15234/gemma2b_lora_merge_ttt
Gemma2b Lora Merge Ttt 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)
Gemma2b Lora Merge Ttt Parameters and Internals
| LLM Name | Gemma2b Lora Merge Ttt |
| Repository 🤗 | https://huggingface.co/ihughes15234/gemma2b_lora_merge_ttt |
| Merged Model | Yes |
| Model Size | 2b |
| Required VRAM | 2.1 GB |
| Updated | 2025-07-31 |
| Maintainer | ihughes15234 |
| Model Type | gemma |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | GemmaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Vocabulary Size | 256000 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than ihughes15234/gemma2b_lora_merge_ttt .
Rank the Gemma2b Lora Merge Ttt Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124