Model Card on HF 🤗: https://huggingface.co/reshinthadith/instruct-codegen-2B-multi
Instruct Codegen 2B Multi 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)
Instruct Codegen 2B Multi Parameters and Internals
| LLM Name | Instruct Codegen 2B Multi |
| Repository 🤗 | https://huggingface.co/reshinthadith/instruct-codegen-2B-multi |
| Model Size | 2b |
| Required VRAM | 11.3 GB |
| Updated | 2025-09-23 |
| Maintainer | reshinthadith |
| Model Type | codegen |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | CodeGenForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.25.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to Instruct Codegen 2B Multi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...en 2B Mono Instruct Py Revised | 0K / 11.3 GB | 6 | 1 |
Rank the Instruct Codegen 2B Multi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124