l4 08 code generation model
Overview
The l4 08 is a specialized code generation model designed for developers prioritizing open-source flexibility and efficient integration. Built under the Apache-2.0 license, it removes restrictive licensing hurdles, making it an ideal candidate for production-grade internal tooling and commercial software pipelines. Unlike general-purpose LLMs, this model is tuned specifically for syntactic accuracy and logic implementation across multiple programming languages. It is best suited for automating boilerplate, refactoring legacy code, and generating unit tests. Developers can integrate it into their IDEs or CI/CD workflows via standard API endpoints, benefiting from a focused architecture that reduces latency compared to massive frontier models while maintaining high precision in code completion tasks.
Highlights
- Permissive Apache-2.0 license for commercial deployment
- Optimized for high-precision code synthesis and refactoring
- Reduced latency compared to general-purpose large models
- Seamless integration into existing developer IDE workflows
Usage
Install
# Install Hugging Face transformers
pip install transformers torchSDK Usage
# Load model with transformers
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("llm-crafter/l4-08-code-generation-model")
tokenizer = AutoTokenizer.from_pretrained("llm-crafter/l4-08-code-generation-model")Hugging Face Download
We recommend downloading the model via the Hugging Face CLI or Hub SDK.
Guidance：Before downloading, install huggingface_hub with:
Guidance
pip install -U huggingface_hubCLI Download
Download the full repository
Download the full repository
huggingface-cli download llm-crafter/l4-08-code-generation-modelDownload a single file to a local folder (e.g. config.json into ./dir)
Download a single file to a local folder (e.g. config.json into ./dir)
huggingface-cli download llm-crafter/l4-08-code-generation-model config.json --local-dir ./dirSee the official docs for more CLI options
SDK Download
SDK Download
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('llm-crafter/l4-08-code-generation-model')Git Download
Make sure git-lfs is installed first
Git Download
git lfs install
git clone https://huggingface.co/llm-crafter/l4-08-code-generation-modelTo skip LFS large-file downloads, use:
Skip LFS
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/llm-crafter/l4-08-code-generation-modelModel files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.
PyTorch / Transformers Usage
Install Transformers
Install Transformers
pip install -U transformers torchLoad the model and run inference
Load the model and run inference
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('llm-crafter/l4-08-code-generation-model')
tokenizer = AutoTokenizer.from_pretrained('llm-crafter/l4-08-code-generation-model')Full Documentation
来源: HuggingFace
---
base_model: unsloth/llama-3.2-1b-instruct-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
---
Uploaded model
- Developed by: llm-crafter
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-1b-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth