The request names a fine-tuned Llama model (Llama-3.2-1B-Instruct) rather than a specific product, so the best fit is a platform that hosts or fine-tunes Llama-family models. Hugging Face hosts the Llama 3.2 model family and offers an SDK and inference access 5, Replicate runs open-source models including a Meta Llama 3.2 1B entry through a cloud API 4, and Google's fine-tuning tooling covers open models 7. Llama (llama.app) runs open models locally on your computer 2, which fits a local
A question back: Do you want to fine-tune this model yourself (and on which platform or hardware), or only run inference with it?
- 1
Hugging Facehuggingface.coverified and signed
Hosts open models and datasets and offers an SDK (huggingface-hub) and inference access to model providers, so you can load or serve a Llama 3.2 1B Instruct checkpoint 5.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: inference · huggingface-inference-api · huggingface
- 2
Replicatereplicate.comverified and signed
Runs open-source machine learning models through a cloud API, and lists a Meta Llama 3.2 1B model among its runnable models 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
Google Agent Platform fine-tuninggoogle.comverified and signed
Fine-tunes open models or Gemini models on Google Cloud infrastructure, using the agent-platform-tuning action 7.
official:MCP server · mcp-securityAPI · Travel Partner APISDK · brotlilibrary · zerocopyCLI · googletest+1,236 community tools built for it
for agents: agent-platform-inference · gke-inference · agent-platform-tuning
- 4
Sources
- 2Llama · Your AI, on your computerllama.app · read 2026-10-29
- 4Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 5Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 7Googlegoogle.com · read just now
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.
inference · @huggingface/inference verified and signed
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
agent-platform-inference · agent-platform-inference verified and signed
Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate c
arize-instrumentation · arize-instrumentation verified and signed
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenT
gh200-144g-hbm3e · Llama-3.2-1B-Instruct verified and signed
Task: GH200 144G HBM3e
azure-ai-inference-py · azure-ai-inference-py verified and signed
Azure AI Inference SDK for Python. Use for chat completions, embeddings, and model inference with Azure AI Foundry endpoints. Triggers: "azure-ai-inference", "ChatCompletionsClient", "EmbeddingsClient", "model inference", "Foundry models".
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.