Codegen 350M Mono 18K Alpaca Python is an open-source language model by SarthakBhatore. Features: 350m LLM, VRAM: 0.7GB, Instruction-Based, Code Generating, LLM Explorer Score: 0.1.
Autotrain compatible Codegen Dataset:iamtarun/python code i... Endpoints compatible Instruct Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/SarthakBhatore/codegen-350M-mono-18k-alpaca-python
Codegen 350M Mono 18K Alpaca Python 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 350M Mono 18K Alpaca Python Parameters and Internals
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| LLM Name | Codegen 350M Mono 18K Alpaca Python |
| Repository 🤗 | https://huggingface.co/SarthakBhatore/codegen-350M-mono-18k-alpaca-python |
| Model Size | 350m |
| Required VRAM | 0.7 GB |
| Updated | 2025-10-03 |
| Maintainer | SarthakBhatore |
| Model Type | codegen |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | CodeGenForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.33.2 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Rank the Codegen 350M Mono 18K Alpaca Python Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a