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ohora23/Kanana-2-30B-A3B-Instruct-GGUF
Kanana-2-30B-A3B-Instruct-GGUF is a text generation model from ohora23. Use it when you need the model to write or continue text. It is set up for llama.cpp. The card lists the license as other.
A GGUF quantization (Q4KM) of kakaocorp/kanana-2-30b-a3b-instruct-2601, so it runs in llama.cpp — e.g. as the Korean endpoint of local-llm-toolkit on a 16 GB GPU.
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.gguf18.6 GB · 100%
From the Hugging Face model README
A GGUF quantization (Q4_K_M) of kakaocorp/kanana-2-30b-a3b-instruct-2601,
so it runs in llama.cpp — e.g. as the Korean endpoint of
local-llm-toolkit on a 16 GB GPU.
Kanana-2 uses a DeepSeek-V3-style MLA + MoE architecture that ExLlamaV3 (EXL3) does not support, so GGUF via llama.cpp is the practical path to run it locally on consumer hardware. Only the file was quantized — no weights were retrained or altered.
| Base model | kakaocorp/kanana-2-30b-a3b-instruct-2601 (30B, ~3B active MoE) |
| Format | GGUF, Q4_K_M (~18.6 GB) |
| Tooling | llama.cpp convert_hf_to_gguf.py (BF16 → F16) → llama-quantize (Q4_K_M) |
# llama.cpp server (fits 16 GB with some MoE layers offloaded to CPU)
llama-server -m kanana-2-30b-a3b-instruct-2601-Q4_K_M.gguf \
-ngl 99 --n-cpu-moe 18 -c 16384 --jinja -a kanana-2
# or via local-llm-toolkit
./llm up ko && ./llm chat --ko
This is a Derivative Work of Kanana-2, redistributed under the KANANA LICENSE AGREEMENT (see license_link). Per the agreement's redistribution terms: this notice and the KANANA license are included, the base model is attributed above, and this is identified as a modified (quantized) version. Use must follow Kakao's Guidelines for Responsible AI. All rights in the underlying model remain with Kakao Corp.