Melvin56/GLM-4-9B-0414-abliterated-GGUF

Original Model : huihui-ai/GLM-4-9B-0414-abliterated

Llama.cpp build: 1d735c0b (5165)

I used imatrix to create all these quants using this Dataset.

With Llama.cpp(Ollama and LM Studio were not tested), you'll need to add these specific commands :

--override-kv glm4.rope.dimension_count=int:64 \
--override-kv tokenizer.ggml.eos_token_id=int:151336 \ 
--chat-template chatglm4

	CPU (AVX2)	CPU (ARM NEON)	Metal	cuBLAS	rocBLAS	SYCL	CLBlast	Vulkan	Kompute
K-quants	✅	✅	✅	✅	✅	✅	✅ 🐢5	✅ 🐢5	❌
I-quants	✅ 🐢4	✅ 🐢4	✅ 🐢4	✅	✅	Partial¹	❌	❌	❌

✅: feature works
🚫: feature does not work
❓: unknown, please contribute if you can test it youself
🐢: feature is slow
¹: IQ3_S and IQ1_S, see #5886
²: Only with -ngl 0
³: Inference is 50% slower
⁴: Slower than K-quants of comparable size
⁵: Slower than cuBLAS/rocBLAS on similar cards
⁶: Only q8_0 and iq4_nl