Model Card on HF 🤗: https://huggingface.co/NinedayWang/PolyCoder-160M
PolyCoder 160M 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)
PolyCoder 160M Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | PolyCoder 160M |
| Repository 🤗 | https://huggingface.co/NinedayWang/PolyCoder-160M |
| Model Size | 160m |
| Required VRAM | 0.7 GB |
| Updated | 2025-09-13 |
| Maintainer | NinedayWang |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.23.1 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to PolyCoder 160M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 160M C2s | 8K / 0.6 GB | 37 | 6 |
| Pythia 160M Xsum Roya | 2K / 0.6 GB | 25 | 0 |
| Pythia 160m Sft | 2K / 0 GB | 5 | 0 |
| Pythia 160M | 2K / 0.4 GB | 51023 | 32 |
| Pythia 160M Deduped | 2K / 0.4 GB | 147093 | 3 |
| Sheared Pythia 160M | 2K / 0.7 GB | 7 | 4 |
| Pythia 160M Dolphin Extended | 2K / 0.3 GB | 7 | 0 |
| Pythia 160M Storytelling | 2K / 0.3 GB | 7 | 0 |
| Pythia160m Sft Tldr | 2K / 0.6 GB | 5 | 0 |
| ...hia 160M Deduped Step92k 193bt | 2K / 0.4 GB | 1727 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NinedayWang/PolyCoder-160M .
Rank the PolyCoder 160M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124