6B Sft Self Critiquing Refine is an open-source language model by dmayhem93. Features: 6b LLM, VRAM: 27.5GB, Context: 2K, LLM Explorer Score: 0.07.
Model Card on HF 🤗: https://huggingface.co/dmayhem93/6B-sft-self-critiquing-refine
6B Sft Self Critiquing Refine 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)
6B Sft Self Critiquing Refine Parameters and Internals
| LLM Name | 6B Sft Self Critiquing Refine |
| Repository 🤗 | https://huggingface.co/dmayhem93/6B-sft-self-critiquing-refine |
| Model Size | 6b |
| Required VRAM | 27.5 GB |
| Updated | 2025-09-23 |
| Maintainer | dmayhem93 |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.26.0.dev0 |
| Vocabulary Size | 50432 |
| Torch Data Type | float32 |
Best Alternatives to 6B Sft Self Critiquing Refine
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... GPT Neox 3 6B Instruction Ppo | 2K / 7.2 GB | 9 | 1 |
| ...ia 6B Sft Response Full Static | 2K / 27.5 GB | 7 | 1 |
| Gptj Response Full Sft | 2K / 27.5 GB | 8 | 1 |
| Ppo Hh Pythia 6B | 2K / 13.8 GB | 2 | 6 |
| Pythia 6B Static Sft | 2K / 27.5 GB | 8 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than dmayhem93/6B-sft-self-critiquing-refine .
Rank the 6B Sft Self Critiquing Refine Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a