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jjang-ai

jjang-ai/vmlx

PythonApache-2.0active
87Health

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

Stars893
Forks96
Open Issues60
Contributors96
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
13
Popularity
25
#anthropic-api#kvcache-compression#kvcache-optimization#kvcache-reuse#llm#lmstudio#macbook#mcp-server#mlx#mlxllm#mlxstudio#omlx#omlx-alternative#openai-api#openclaw#openclaw-agent#persistent-memory#prefix-cache#vmlx
View on GitHub ↗Issues (60) ↗Pull Requests ↗

Should you contribute to jjang-ai/vmlx?

jjang-ai/vmlx has a FoundDev health score of 87/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

jjang-ai
jjang-ai/vmlx
PythonApache 2.0
87

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

active
★ 89396 contributors60 issues
0d ago

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