CodeGen Instruct is an open-source language model by prashrex. Features: LLM, VRAM: 0.8GB, Context: 16K, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/prashrex/CodeGen-Instruct
CodeGen Instruct 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 Instruct Parameters and Internals
| LLM Name | CodeGen Instruct |
| Repository 🤗 | https://huggingface.co/prashrex/CodeGen-Instruct |
| Required VRAM | 0.8 GB |
| Updated | 2026-05-25 |
| Maintainer | prashrex |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q8 |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.33.1 |
| Vocabulary Size | 32256 |
| Torch Data Type | bfloat16 |
Best Alternatives to CodeGen Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Codellama Cairo Instruct GGUF | 16K / 4.1 GB | 26 | 1 |
Rank the CodeGen Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a