GLM-4.6 · Ollama

ShreyanGondaliya/s5

A model based on the GLM-4.6v-flash:9b q5_k_m, and uncensored. For local use I recommend editing the model context in modelfile as it is set to 128k. #EDIT: New local optimised model same with context 4096 https://ollama.com/ShreyanGondaliya/s5-reduced

439 Pulls 1 Tag Updated 5 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

432 Pulls 3 Tags Updated 5 months ago

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

Abliterated (Uncensored) GLM4.6 Flash

8,270 Pulls 11 Tags Updated 7 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

4,419 Pulls 1 Tag Updated 6 months ago

MichelRosselli/GLM-4.6

GLM-4.6 is a hybrid reasoning model that provides two modes: a thinking mode for complex reasoning and tool use, and a non-thinking mode for immediate responses.

tools thinking

5,826 Pulls 9 Tags Updated 7 months ago

gurubot/GLM-4.6V-Flash-GGUF

tools thinking

1,157 Pulls 1 Tag Updated 7 months ago

aiasistentworld/GLM-4.6-LLM

New version GLM-4.6

431 Pulls 1 Tag Updated 9 months ago

scorpion7slayer/GLM-4.6V-Flash

model imported from hf

250 Pulls 1 Tag Updated 7 months ago

rnogy/GLM-4.6V

unsloth/GLM-4.6V 106b

184 Pulls 1 Tag Updated 6 months ago

MichelRosselli/GLM-4.6-REAP-218B-A32B-FP8-mixed-AutoRound

This model is a mixed gguf q2ks format of Cerebras' GLM-4.6-REAP-218B-A32B-FP8 generated using Intel's AutoRound algorithm.

tools thinking

161 Pulls 1 Tag Updated 8 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

133 Pulls 9 Tags Updated 7 months ago

sparksammy/glm-4.6v-flash-unsloth

vision tools thinking

712 Pulls 5 Tags Updated 5 months ago

zerocopia/glm-4.6

tools thinking cloud

18 Pulls 1 Tag Updated 2 months ago

ucx0204/glm-4.6V-Flash-Q8

vision tools thinking

586 Pulls 1 Tag Updated 6 months ago

doitmagic/glm-4.6v-flash

518 Pulls 1 Tag Updated 7 months ago

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

This model requires Ollama v0.6.6 or later

5,948 Pulls 1 Tag Updated 1 year ago

rhundt/GLM-4-0414-32b-128k-Q4_K_M

GLM-4-0414 32B with 128k context (YaRN RoPE scaling). Needs ollama 0.6.6

tools

1,085 Pulls 1 Tag Updated 1 year ago

ShreyanGondaliya/gemma-4-claude-opus-4.6-thinking-s7-multimodal

Gemma 4 distilled from claude opus 4.6 thinking. Has only a 5% gap with claude opus 4.6 thinking while being over 40x smaller. Designed for server inference. Designed for local inference

tools thinking

586 Pulls 1 Tag Updated 3 months ago

ShreyanGondaliya/qwen-3.6-claude-opus-4.6-thinking-s8-pro-multimodal

A distil from opus 4.6 thinking. Only <7% gap in real world and benchmarking tests

432 Pulls 1 Tag Updated 2 months ago

DiamondGotCat/Zeta-4

Challenging the limit of 464M params

44 Pulls 37 Tags Updated 1 year ago