No product named MiniMax-H3-encoder-GGUF appears in the candidate sources, so the closest matches are platforms for finding and running GGUF model weights: Hugging Face hosts GGUF models and has a CLI to estimate memory for loading them 1, while ggml.ai provides the GGUF-related tensor library that llama.cpp uses to run such models locally 10.
- 1
Hugging Facehuggingface.coverified and signed
Hosts public models and offers the hf-mem CLI to estimate memory needed to load Safetensors or GGUF weights, plus guidance on finding and quantizing GGUF models for local inference 1.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: hf-mem · huggingface-local-models · models
- 2
Sources
- 1Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 10ggml.aiggml.ai · read 2026-10-29
For agents: the 10 actions behind this answer
hf-mem · hf-mem verified and signed
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
model-recommendation · model-recommendation verified and signed
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
h100-80gb-hbm3 · Llama-3.3-Nemotron-Super-49B-v1 verified and signed
Task: H100 80GB HBM3
microsoft/phi-3-mini-128k-instruct · microsoft/phi-3-mini-128k-instruct verified and signed
Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets
HuggingFace · sagemaker verified and signed
github · ghapi verified and signed
workers-ai-search-model · Cloudflare API verified and signed
Model Search
Networks · sentence-transformers verified and signed
google modelarmor · @google-cloud/modelarmor verified and signed
gguf · gguf verified and signed
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.