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ByteDance · open-weights

Seed-Coder

Seed-Coder is an open-weights language model from ByteDance, released June 4, 2025. Its makers disclosed about 8.2B parameters.

Code data in large language model (LLM) pretraining is recognized crucial not only for code-related tasks but also for enhancing general intelligence of LLMs. Current open-source LLMs often heavily rely on human effort to produce their code pretraining data, such as employing hand-crafted filtering rules tailored to …

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Lab
ByteDance
Released
June 4, 2025
Weights
Open
Parameters
8.2B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Seed-Coder locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for Seed-Coder yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from ByteDance

Cola2 · Doubao Seed 2.1 Turbo · Doubao Seed 2.1 Pro · Doubao Seed Evolving (Nov 2026) · Doubao Seed 2.0 Lite (Apr 2026) · Doubao-Seed-2.0 Pro · Doubao Seed 2.0 Code · Doubao Seed 2.0 Mini

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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