Model Card on HF 🤗: https://huggingface.co/Grogros/gpt2-kgw-k1-delta2.0-logitDistill
Gpt2 Kgw K1 Delta2.0 LogitDistill 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)
Gpt2 Kgw K1 Delta2.0 LogitDistill Parameters and Internals
| LLM Name | Gpt2 Kgw K1 Delta2.0 LogitDistill |
| Repository 🤗 | https://huggingface.co/Grogros/gpt2-kgw-k1-delta2.0-logitDistill |
| Model Size | 124.4m |
| Required VRAM | 0.5 GB |
| Updated | 2025-06-09 |
| Maintainer | Grogros |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| Model Max Length | 1024 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to Gpt2 Kgw K1 Delta2.0 LogitDistill
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ArshGpt | 0K / 0.5 GB | 535 | 12 |
| Gpt2 Sft | 0K / 0.2 GB | 290 | 0 |
| Gpt2 Coconut Gsm From Cot7 | 0K / 0.5 GB | 21 | 0 |
| MindMate V2 | 0K / 0.5 GB | 52 | 0 |
| GPT 2 Fine Tuned Mental Health | 0K / 0.5 GB | 807 | 4 |
| Solacia | 0K / 0.5 GB | 20 | 3 |
| MindMate V1 | 0K / 0.5 GB | 25 | 1 |
| MindMate | 0K / 0.5 GB | 5 | 1 |
| Gpt2 Shakespeare Mini | 0K / 0.5 GB | 14 | 1 |
| Tiny2GPT | 0K / 0.5 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Grogros/gpt2-kgw-k1-delta2.0-logitDistill .
Rank the Gpt2 Kgw K1 Delta2.0 LogitDistill Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124