GLM-4V · Ollama

byczech/glm-4.7-flash-16G-UD-Q3_K_XL

GLM-4.7 Flash 30B text model with tool-calling support, quantized to Q3_K_XL and optimized for 16 GB VRAM. The model supports up to 202,752 tokens context window, with approximately 136K fitting within 16 GB in suitable configurations.

tools thinking 30b

218 Pulls 1 Tag Updated 1 month ago

byczech/glm-4.7-flash-12G-UD-IQ2_XSS

GLM-4.7 Flash 30B text model with tool-calling support, quantized to IQ2_XSS and optimized for 12 GB VRAM. Supports a maximum context window of 202,752 tokens, subject to the Ollama version, GPU, backend and runtime configuration.

tools thinking 30b

192 Pulls 1 Tag Updated 1 month ago

byczech/glm-4.7-flash-16G-UD-IQ3_XSS

GLM-4.7 Flash 30B text model with tool-calling support, quantized to IQ3_XSS and optimized for 16 GB VRAM. The model supports up to 202,752 tokens context window, with approximately 180K fitting within 16 GB in suitable configurations.

tools thinking 30b

101 Pulls 1 Tag Updated 1 month ago

alibilge/Huihui-GLM-4.6V-Flash-abliterated

Abliterated (Uncensored) GLM4.6 Flash

9,465 Pulls 11 Tags Updated 8 months ago

haervwe/GLM-4.6V-Flash-9B

GLM 4.6V Flash 9B model with vision, tools, and hybrid thinking enabled. using custom template to align it to ollama and the recomended sampling settigns by default. using unsloth quants at q4K_M

vision tools thinking

5,477 Pulls 1 Tag Updated 8 months ago

gurubot/GLM-4.6V-Flash-GGUF

tools thinking

1,240 Pulls 1 Tag Updated 8 months ago

MedAIBase/GLM-4.6V-Flash

GLM-4.6V-Flash (9B) is a lightweight model optimized for local deployment and low-latency applications. It scales its context window to 128k tokens in training and achieves SoTA performance in visual understanding among models of similar parameter scales.

9b

471 Pulls 3 Tags Updated 7 months ago

scorpion7slayer/GLM-4.6V-Flash

model imported from hf

264 Pulls 1 Tag Updated 8 months ago

rnogy/GLM-4.6V

unsloth/GLM-4.6V 106b

228 Pulls 1 Tag Updated 8 months ago

aia/GLM-4.7-Flash-REAP-23B-A3B-GGUF

A memory-efficient compressed variant of GLM-4.7-Flash that maintains near-identical performance while being 25% lighter.

856 Pulls 1 Tag Updated 7 months ago

aiasistentworld/GLM-4.6-LLM

New version GLM-4.6

436 Pulls 1 Tag Updated 10 months ago

MichelRosselli/GLM-4.6-REAP-268B-A32B

GLM-4.6-REAP-268B-A32B (by Cerebras), a memory-efficient compressed variant of GLM-4.6 that maintains near-identical performance while being 25% lighter.

tools thinking

138 Pulls 9 Tags Updated 9 months ago

JollyLlama/GLM-4-32B-0414-Q4_K_M

This model requires Ollama v0.6.6 or later

6,107 Pulls 1 Tag Updated 1 year ago

mychen76/GLM-4-32B-cline-roocode

Quantized version of THUDM/GLM-4-32B-0414 optimized for tool usage with Cline / Roo Code and complex problem solving.

tools

1,807 Pulls 3 Tags Updated 1 year ago

ucx0204/glm-4.6V-Flash-Q8

vision tools thinking

641 Pulls 1 Tag Updated 7 months ago

pdevine/glm-4.7-flash

Experimental version of glm-4.7-flash

tools thinking

60 Pulls 2 Tags Updated 6 months ago

gsarti/phi3-mini-rebus-solver

Phi-3 Mini 4K fine-tuned on verbalized rebus solving in Italian

13 Pulls 1 Tag Updated 2 years ago

tinyrick/gemma-4-31B-it-uncensored-heretic-vision-llmfan46

llmfan46/gemma-4-31B-it-uncensored-heretic-GGU with Vision

vision tools thinking

12K Pulls 2 Tags Updated 1 week ago

aisingapore/Gemma-SEA-LION-v4-4B-VL

Gemma-SEA-LION-v4-4B-VL is a multilingual, multimodal model which has been pretrained and instruct-tuned for the Southeast Asia region. Developed by AI Singapore and funded by National Research Foundation, Singapore.

vision tools

434 Pulls 5 Tags Updated 6 months ago

Agen/gemma-4-26B-A4B-it-uncensored-heretic

llmfan46/gemma-4-26B-A4B-it-uncensored-heretic - quantized to q4_K_M from HF with vision capability retained

vision tools thinking

5,532 Pulls 1 Tag Updated 4 months ago