The request names a specific fine-tuned Llama 3.2 1B Instruct model hosted on Hugging Face (the dmWM repository ID format matches Hugging Face model naming), so the best fit is Hugging Face, which hosts model repositories and offers its SDK and CLI to access them 7. Replicate can run open-source Llama models through a cloud API and lists Meta Llama 3.2 1B as an indexed action 4. Llama (llama.app) runs open models locally on your own computer with a local API, which suits downloading and runn
- 1
Hugging Facehuggingface.coverified and signed
Hosts open model repositories like this fine-tune and provides the huggingface-hub SDK and hf-cli to download and use them 7.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: llm · llm · huggingface-local-models
- 2
Replicatereplicate.comverified and signed
Runs open-source models such as Meta Llama 3.2 1B through a cloud API, via the indexed justmalhar/meta-llama-3.2-1b action 4.
+14 community tools built for it
for agents: ibm-granite/granite-3.2-8b-instruct · justmalhar/meta-llama-3.2-3b · justmalhar/meta-llama-3.2-1b
- 3
Sources
- 2Llama · Your AI, on your computerllama.app · read 2026-10-29
- 4Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 7Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
For agents: the 10 actions behind this answer
LLM · llama-index-core verified and signed
· Llama website read, tools not yet checked
Run the latest open models on your computer. Chat with them, or connect them to your coding agents, editors, and apps. Free, private, and nothing to configure.
· Llamanotes website read, tools not yet checked
Name a goal or upload your materials, and SkillSend builds the course, practice, and real-format exams that prove you're ready with Coach, an AI tutor that knows your content.
ibm-granite/granite-3.2-8b-instruct · ibm-granite/granite-3.2-8b-instruct verified and signed
Granite-3.2-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for reasoning and instruction-following capabilities.
createFineTune · OpenAI API verified and signed
Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn m
create-llms · create-llms verified and signed
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
llm · @huggingface/tiny-agents verified and signed
llm · deepagents verified and signed
gh200-144g-hbm3e · Llama-3.2-1B-Instruct verified and signed
Task: GH200 144G HBM3e
neo4j-genai-plugin-skill · neo4j-genai-plugin-skill verified and signed
Use Neo4j GenAI Plugin ai.text.* functions and procedures for in-Cypher embedding generation, text completion, structured output, chat, tokenization, and batch ingestion. Covers ai.text.embed(), ai.text.embedBatch(), ai.text.completion(), ai.text.structuredCompletion(), ai.text.aggregateCompletion()
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.