How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for g0t4/ByteDance-Seed-Coder-8B-Instruct-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for g0t4/ByteDance-Seed-Coder-8B-Instruct-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for g0t4/ByteDance-Seed-Coder-8B-Instruct-GGUF to start chatting
Quick Links

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

g0t4/ByteDance-Seed-Coder-8B-Instruct-GGUF

Based on https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct

GGUF Conversion

python convert_hf_to_gguf.py --remote ByteDance-Seed/Seed-Coder-8B-Instruct \
    --outtype f16 --outfile ByteDance-Seed-Coder-8B-Instruct-f16.gguf

./build/bin/llama-quantize ByteDance-Seed-Coder-8B-Instruct-f16.gguf ByteDance-Seed-Coder-8B-Instruct-Q8_0.gguf Q8_0
./build/bin/llama-quantize ByteDance-Seed-Coder-8B-Instruct-f16.gguf ByteDance-Seed-Coder-8B-Instruct-Q4_K_M.gguf Q4_K_M

hf upload ByteDance-Seed-Coder-8B-Instruct-GGUF .
Downloads last month
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GGUF
Model size
8B params
Architecture
llama
Hardware compatibility
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