Autotrain compatible Base model:angelraychev/0.5b-p... Base model:finetune:angelraych... Conversational Endpoints compatible Generated from trainer Pytorch Qwen2 Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/AngelRaychev/0.5B-policy-iteration_4
0.5B Policy Iteration 4 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)
0.5B Policy Iteration 4 Parameters and Internals
| LLM Name | 0.5B Policy Iteration 4 |
| Repository 🤗 | https://huggingface.co/AngelRaychev/0.5B-policy-iteration_4 |
| Model Name | 0.5B-policy-iteration_4 |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2025-05-17 |
| Maintainer | AngelRaychev |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to 0.5B Policy Iteration 4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 154 | 141 |
| Qwen2 0.5B | 128K / 1 GB | 108947 | 143 |
| Qwen2 0.5B Stf Imdb | 128K / 1 GB | 95 | 0 |
| ...PRYMMAL 0.5B FT V4 MUSR Mathis | 128K / 1 GB | 62 | 1 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 32 | 1 |
| ....5B FT V4 MUSR ENSEMBLE Mathis | 128K / 2 GB | 30 | 1 |
| ...0.5B FT MUSR ENSEMBLE V2Mathis | 128K / 1 GB | 25 | 0 |
| ECE PRYMMAL 0.5B FT V3 MUSR | 128K / 2 GB | 6 | 0 |
| ECE PRYMMAL 0.5B FT V4 MUSR | 128K / 2 GB | 5 | 0 |
| Qwen2 0.5B | 128K / 1 GB | 4952 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than AngelRaychev/0.5B-policy-iteration_4 .
Rank the 0.5B Policy Iteration 4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227