Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gemma2 Region:us Safetensors Sft Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/skarnam/SFT_fft
SFT Fft 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)
SFT Fft Parameters and Internals
| LLM Name | SFT Fft |
| Repository 🤗 | https://huggingface.co/skarnam/SFT_fft |
| Model Size | 2.6b |
| Required VRAM | 5.2 GB |
| Updated | 2025-04-28 |
| Maintainer | skarnam |
| Model Type | gemma2 |
| Model Files | |
| Model Architecture | Gemma2ForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.51.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to SFT Fft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SFT Peft | 8K / 5.2 GB | 46 | 0 |
| Vera Instruct | 8K / 5.2 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than skarnam/SFT_fft .
Rank the SFT Fft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227