Seed-Coder-8B-BaseOpen-source 8B parameter base model for code generation and completion
Overview
Key features
- 8 billion parameter code-focused architecture
- Pretrained on large-scale programming data
- Supports multiple programming languages
- Open weights for research and commercial use
- Base model ready for downstream fine-tuning
- Efficient inference for local deployment
Pricing
- Model
- Free
- Category
- LLM
- Rating
- 4.6 / 5 (5)
Pros & Cons
Pros
- Fully open-source with accessible weights
- Compact 8B size runs on modest hardware
- Strong performance for its parameter count
- Suitable for fine-tuning on custom codebases
Cons
- Smaller than frontier proprietary models
- Requires technical setup to deploy
- Base model needs fine-tuning for chat use cases
Reviews
Average from 5 ratings.
Sign in to leave a review.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on supports multiple programming languages, and compact 8B size runs on modest hardware caught me off guard. Smaller than frontier proprietary models is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Years in this space
I've evaluated a lot of these over the years. What stands out here is open weights for research and commercial use — handled better than most — and fully open-source with accessible weights. Base model needs fine-tuning for chat use cases is my one real gripe. Worth the time if this is your use case.
Solid for our team
We rolled this out across the team last quarter and strong performance for its parameter count. 8 billion parameter code-focused architecture fits neatly into how we already work, and base model ready for downstream fine-tuning removed a step we used to do by hand. but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: 8 billion parameter code-focused architecture and suitable for fine-tuning on custom codebases. Where it lags: smaller than frontier proprietary models. On balance the feature set — especially supports multiple programming languages — justifies the 5 stars for our use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on open weights for research and commercial use, and compact 8B size runs on modest hardware caught me off guard. Smaller than frontier proprietary models is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Q&A
No questions yet — be the first to ask.
Ask a question
LLM alternatives
Bifrost
LLM
High-performance LLM gateway unifying 1000+ models behind a single API.
Latest DeepSeek R2
LLM
Next-generation reasoning-focused AI model from DeepSeek
DeepSeek V3
LLM
Open-source mixture-of-experts model offering GPT-4o-level reasoning at a fraction of the cost.
Simple MP3 to Text
LLM
AI-powered MP3 to text converter for turning audio into clean, readable transcripts.
Latest Grok 3 AI
LLM
Conversational AI from xAI built for reasoning, research, and real-time answers.
Llama 3.3
LLM
Meta's multilingual open-weight LLM tuned for efficient, high-quality text generation.
DeepSeek R1
LLM
An open-source large language model excelling in reasoning, math, and coding tasks with MIT licensing for free use and modification.
OpenAI o1
LLM
OpenAI's reasoning-focused model built for complex, multi-step problem solving.
Trending now
Reducto AI
AI Agent Development Platforms
Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.
AdCrier
Marketing & Advertising
Sponsored answers, paid per click.
Fine AI
Programming Agents
An AI-powered coding platform designed to help startup teams build, test, and deploy software more efficiently.
Pin AI
Workflow automation
Agentic AI recruiter that automates sourcing, screening, and outreach to accelerate hiring.