Arxiv:1910.09700 4-bit 4bit Autotrain compatible Conversational Endpoints compatible Gemma Gptq Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ghemdd/kto_sft_mcqa_4bit
Kto Sft Mcqa 4bit 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)
Kto Sft Mcqa 4bit Parameters and Internals
| LLM Name | Kto Sft Mcqa 4bit |
| Repository 🤗 | https://huggingface.co/ghemdd/kto_sft_mcqa_4bit |
| Model Size | 790m |
| Required VRAM | 2.1 GB |
| Updated | 2025-02-22 |
| Maintainer | ghemdd |
| Model Type | gemma |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Kto Sft Mcqa 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma Kto Only 4bit | 8K / 2.1 GB | 77 | 0 |
| Gemma EPFL 4bit | 8K / 2.1 GB | 7 | 0 |
Rank the Kto Sft Mcqa 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227