Seed-Coder-8B-Instruct Rust Strandset GGUF

GGUF export of a Seed-Coder-8B-Instruct LoRA trained on a 20k-row subset of Fortytwo-Network/Strandset-Rust-v1.

Base model:

ByteDance-Seed/Seed-Coder-8B-Instruct

LoRA adapter:

snsnc/Seed-Coder-8B-Instruct-Rust-Strandset-LoRA

Dataset:

Fortytwo-Network/Strandset-Rust-v1

Mapping used:

  • input_data → user
  • output_data → assistant
  • task_category → system
  • crate_name → system
  • test → none

Training config:

  • Method: LoRA
  • Context: 4096
  • Epochs: 1
  • LR: 2e-4
  • Rank: 16
  • Alpha: 32
  • Dropout: 0.0
  • Batch size: 16
  • Grad accum: 2
  • Effective batch: 32
  • Weight decay: 0.001
  • Warmup steps: 25
  • Packing: off
  • Train on completions: on

Files:

  • Seed-Coder-8B-Instruct.Q4_K_M.gguf
  • Seed-Coder-8B-Instruct.Q6_K.gguf

Note: this model was trained on Strandset-style structured Rust code tasks. It may emit JSON-style wrappers such as {"code": "..."} depending on prompting.

llama.cpp

llama-cli \
  -m Seed-Coder-8B-Instruct.Q4_K_M.gguf \
  --jinja \
  --single-turn \
  --temp 0.1 \
  --top-p 0.8 \
  --repeat-penalty 1.05 \
  -p "Write only Rust code. No markdown. Implement parse_duration(s: &str) -> Result<std::time::Duration, String> supporting 10s, 5m, 2h. Include tests."
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GGUF
Model size
8B params
Architecture
llama
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