GigaChat3-10B-A1.8B-bf16-gguf-unstable

122
10.0B
llama.cpp
by
whoy
Other
OTHER
10B params
New
122 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
23GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
10GB+ RAM

Code Examples

Conversion methodpython
# 1. Restructure weights to emulate MLA
# Original: Q = X @ q_proj [6144, 1536]
# Emulated: Q = ((X @ Identity[1536,1536]) * ones) @ q_proj[6144,1536]

# 2. Convert with q_lora_rank = 1536
python prepare_weights.py  # Creates fake q_a_proj, q_a_norm, q_b_proj
python convert_hf_to_gguf.py ./model-fixed --outfile model.gguf
Creates fake q_a_proj, q_a_norm, q_b_projbashllama.cpp
# llama.cpp
./llama-cli -m model.gguf \
  --temp 0.3 --top-p 0.9 -n 512 \
  -p "User: [query]\nAssistant:"

# Recommended params
temperature: 0.0-0.5
top_p: 0.8-0.9
max_tokens: < 512 (quality degrades further out)

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