glm 4.7 · Ollama

glm-4.7-flash

As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.

tools thinking

1.6M Pulls 4 Tags Updated 3 months ago

jewelzufo/GLM4.7-Distill-LFM2.5-1.2B

71 Pulls 1 Tag Updated 5 months ago

yasserrmd/GLM4.7-Distill-LFM2.5-1.2B

281 Pulls 1 Tag Updated 7 months ago

byczech/glm-4.7-flash-uncensored-16G-AU-IQ3_M

Uncensored GLM-4.7 Flash 30B text model with tool-calling support, quantized to IQ3_M and optimized for 16 GB VRAM. Suitable for coding, agents, automation, roleplay, analysis and unrestricted local experimentation.

tools thinking 30b

1,414 Pulls 1 Tag Updated 1 month ago

rafw007/glm-4.7-flash-opencode

A family of custom models built on **GLM-4.7-Flash** (MoE, 30B total / 3B active), tuned to act as autonomous coding agents — **each variant targeting a specific harness**

tools thinking

633 Pulls 1 Tag Updated 3 months ago

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

232 Pulls 1 Tag Updated 1 month ago

huihui_ai/glm-4.7-flash-abliterated

As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.

tools thinking

299.5K Pulls 5 Tags Updated 7 months 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

197 Pulls 1 Tag Updated 1 month ago

dhiltgen/glm-4.7-flash

tools thinking

203 Pulls 10 Tags 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

102 Pulls 1 Tag Updated 1 month ago