Model Card on HF 🤗: https://huggingface.co/moyix/codegen-16B-multi-gptj
Codegen 16B Multi Gptj 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)
Codegen 16B Multi Gptj Parameters and Internals
| LLM Name | Codegen 16B Multi Gptj |
| Repository 🤗 | https://huggingface.co/moyix/codegen-16B-multi-gptj |
| Model Size | 16b |
| Required VRAM | 32.2 GB |
| Updated | 2025-09-23 |
| Maintainer | moyix |
| Model Type | gptj |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | GPTJForCausalLM |
| Transformers Version | 4.22.0.dev0 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to Codegen 16B Multi Gptj
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Codegen 16B Mono Gptj | 0K / 32.2 GB | 10 | 2 |
Rank the Codegen 16B Multi Gptj Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51540 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124