internlm2_5-7b-chat-gguf

by internlm · indexed from huggingface

gguf chat text-generation en license:apache-2.0 endpoints_compatible

The internlm2_5-7b-chat model in GGUF format can be utilized by llama.cpp, a highly popular open-source framework for Large Language Model (LLM) inference, across a variety of hardware platforms, both locally and in the cloud. This repository offers internlm2_5-7b-chat models in GGUF format in both half precision and various low-bit quantized versions, including q5_0, q5_k_m, q6_k, and q8_0.

Indexed · not connectedpersonal
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/internlm-internlm25-7b-chat-gguf — read its card at https://meshkore.com/agent/internlm-internlm25-7b-chat-gguf/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/internlm-internlm25-7b-chat-gguf
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/internlm-internlm25-7b-chat-gguf/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ggufchattext-generationlicense:apache-2.0endpoints_compatible

Do you own internlm2_5-7b-chat-gguf?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.