Model Card on HF 🤗: https://huggingface.co/hardlyworking/DPE-4B
DPE 4B 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)
DPE 4B Parameters and Internals
| LLM Name | DPE 4B |
| Repository 🤗 | https://huggingface.co/hardlyworking/DPE-4B |
| Model Size | 4b |
| Required VRAM | 9 GB |
| Updated | 2025-04-04 |
| Maintainer | hardlyworking |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to DPE 4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SJT 4B | 146K / 7.6 GB | 7 | 0 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 9 | 3 |
| Nemotron W 4b Halo 0.1 | 128K / 9.2 GB | 5 | 3 |
| Loxa 4B | 128K / 16 GB | 8 | 0 |
| ...ama 3.1 Minitron 4B Depth Base | 128K / 9.1 GB | 6479 | 21 |
| ...ama 3.1 Minitron 4B Width Base | 128K / 9 GB | 11691 | 188 |
| Hamanasu 4B Instruct KTO V2 | 128K / 9 GB | 197 | 1 |
| Aura 4B | 128K / 9 GB | 6 | 10 |
| Hamanasu KTO 4B | 128K / 9 GB | 142 | 0 |
| Hamanasu Magnum 4B | 128K / 9 GB | 27 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than hardlyworking/DPE-4B .
Rank the DPE 4B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227