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KikoCis/KAT-Coder-V2.5-Dev-IQ2_M-GGUF
KAT-Coder-V2.5-Dev-IQ2_M-GGUF is a text generation model from KikoCis. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
A single imatrix-guided IQ2M quantization of Kwaipilot/KAT-Coder-V2.5-Dev, built to put a 34.7B mixture-of-experts coder inside roughly 11 GB.
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.gguf11.7 GB · 98%
From the Hugging Face model README
A single imatrix-guided IQ2_M quantization of Kwaipilot/KAT-Coder-V2.5-Dev, built to put a 34.7B mixture-of-experts coder inside roughly 11 GB.
| file | KAT-Coder-V2.5-Dev-IQ2_M.gguf |
| size | 10.85 GiB |
| architecture | qwen35moe (MoE, ~3B active) |
| parameters | 34.66 B |
| native context | 262,144 |
| imatrix | yes — katcoder.imatrix included |
Verified: the file loads under llama.cpp and generates — prompt processing and token generation both exercised, exit code 0.
Not measured: there is no KL-divergence or perplexity table for this quant. IQ2_M is an aggressive tier and quality loss at ~2.7 bits per weight is real; this repo does not quantify it. If you want a quant release with a measured fidelity table, see Qwen3.6-27B-GGUF, where every tier is compared against the BF16 reference.
Treat this as "a working IQ2_M with its imatrix", not as a validated one.
llama-cli -m KAT-Coder-V2.5-Dev-IQ2_M.gguf -c 32768 -no-cnv -p "write a binary search in Rust"
-no-cnv matters: recent llama-cli builds otherwise drop into conversation mode and wait on stdin.
The GGUF carries general.name = "Src", an artifact of the directory it was converted from. It is
cosmetic and does not affect inference.
Model and weights © Kwaipilot — KAT-Coder-V2.5-Dev, Apache-2.0. This repo adds only the quantization. Weights otherwise unmodified.