Joe
Joe57005
AI & ML interests
Small language models and practical use of AI.
Recent Activity
updated a collection 7 days ago
Models to try updated a collection 7 days ago
Models to try updated a model 9 days ago
Joe57005/distil-lfm25-home-assistant-Q4_K_M-GGUFOrganizations
None yet
For finetune
-
glaiveai/glaive-function-calling-v2
Viewer • Updated • 113k • 19.2k • 539 - RunningAgents18
Chat Template Editor
💬18View, edit, test and submit Chat Templates
- RunningAgents106
GGUF Editor
🏢106Edit GGUF model metadata from Hugging Face or local files
-
0xSero/glm47-reap-calibration-v2
Viewer • Updated • 1.36k • 44 • 3
Good for home automation
Large context LLMs that work well with Home Assistant via Llama.cpp server running on CPU with 16GB ram.
LLM Tools
- RunningAgents106
GGUF Editor
🏢106Edit GGUF model metadata from Hugging Face or local files
- Runtime errorAgentsFeatured288
mergekit-gui
🔀288Merge AI models using a YAML configuration file
- Running on A10G2.13k
GGUF My Repo
🦙2.13kQuantize a Hugging Face model into GGUF format
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SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
Paper • 2512.04746 • Published • 17
For MOE 1.5B
Models to try
Architectures to watch
LLM Tools
- RunningAgents106
GGUF Editor
🏢106Edit GGUF model metadata from Hugging Face or local files
- Runtime errorAgentsFeatured288
mergekit-gui
🔀288Merge AI models using a YAML configuration file
- Running on A10G2.13k
GGUF My Repo
🦙2.13kQuantize a Hugging Face model into GGUF format
-
SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
Paper • 2512.04746 • Published • 17
For finetune
-
glaiveai/glaive-function-calling-v2
Viewer • Updated • 113k • 19.2k • 539 - RunningAgents18
Chat Template Editor
💬18View, edit, test and submit Chat Templates
- RunningAgents106
GGUF Editor
🏢106Edit GGUF model metadata from Hugging Face or local files
-
0xSero/glm47-reap-calibration-v2
Viewer • Updated • 1.36k • 44 • 3
For MOE 1.5B
Good for home automation
Large context LLMs that work well with Home Assistant via Llama.cpp server running on CPU with 16GB ram.
Models to try