Model Card on HF 🤗: https://huggingface.co/giulio98/codegen-2B-multi-xlcost
Codegen 2B Multi Xlcost 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 2B Multi Xlcost Parameters and Internals
| LLM Name | Codegen 2B Multi Xlcost |
| Repository 🤗 | https://huggingface.co/giulio98/codegen-2B-multi-xlcost |
| Model Size | 2b |
| Required VRAM | 5.7 GB |
| Updated | 2025-02-22 |
| Maintainer | giulio98 |
| Model Type | codegen |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | CodeGenForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.24.0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to Codegen 2B Multi Xlcost
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Python 18K Alpaca Full Dataset | 0K / 5.6 GB | 107 | 0 |
| Archgen 2B V1 | 0K / 5.6 GB | 8 | 0 |
| Salesforce Codegen 2B Multi Ov | 0K / 11.1 GB | 9 | 0 |
| Nsql 2B | 0K / 11.3 GB | 87 | 9 |
| Instruct Codegen 2B Multi | 0K / 11.3 GB | 13 | 1 |
| Diff Codegen 2B V2 | 0K / 5.7 GB | 44 | 6 |
| ...en 2B Mono Instruct Py Revised | 0K / 11.3 GB | 2 | 1 |
| Codegen 2B Mono Xlcost | 0K / 5.7 GB | 13 | 1 |
| Fine Tuned Codegen 2B Verilog | 0K / 11.3 GB | 257 | 7 |
| Codegen 2B Multi | 0K / 5.7 GB | 2771 | 36 |
Note: green Score (e.g. "73.2") means that the model is better than giulio98/codegen-2B-multi-xlcost .
Rank the Codegen 2B Multi Xlcost Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227