Sherlock Gemma Finetuned is an open-source language model by patilurjit16. Features: 1.5b LLM, VRAM: 2.2GB, Context: 8K, Fine-Tuned, Merged, LLM Explorer Score: 0.14.
Merged Model Arxiv:1910.09700 4-bit Autotrain compatible Bitsandbytes Endpoints compatible Finetuned Gemma Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/patilurjit16/sherlock_gemma_finetuned
Sherlock Gemma Finetuned 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)
Sherlock Gemma Finetuned Parameters and Internals
| LLM Name | Sherlock Gemma Finetuned |
| Repository 🤗 | https://huggingface.co/patilurjit16/sherlock_gemma_finetuned |
| Merged Model | Yes |
| Model Size | 1.5b |
| Required VRAM | 2.2 GB |
| Updated | 2025-09-23 |
| Maintainer | patilurjit16 |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Sherlock Gemma Finetuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| New Gemma | 8K / 2.2 GB | 0 | 0 |
Rank the Sherlock Gemma Finetuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a