The request names qwen2.5, a model family, and asks what to use to run a 3B v2 variant beyond the base model. Replicate runs open-source models through a cloud API 1, and its indexed actions include Qwen 2 instruct models at 1.5B and 7B sizes 1, though no 3B Qwen2.5 entry is shown in the sources. Hugging Face hosts models and offers fine-tuning and inference tooling 4, and Amazon SageMaker can select, deploy and customize models including fine-tuning 7.
- 1
Replicatereplicate.comverified and signed
Runs open-source machine learning models through a cloud API, with indexed Qwen 2 instruct models at 1.5B and 7B sizes that can be called via replicate.run 1.
+14 community tools built for it
for agents: meta/meta-llama-3-8b · zsxkib/qwen2-1.5b-instruct · zsxkib/qwen2-7b-instruct
- 2
Hugging Facehuggingface.coverified and signed
Hosts and collaborates on models, and offers an hf-cli, a huggingface-hub SDK and a huggingface-llm-trainer action to train or fine-tune language models with TRL or Unsloth 4.
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-llm-trainer
- 3
Amazon SageMakeramazon.comverified and signed
Selects, deploys and customizes AI models on SageMaker, including fine-tuning jobs (SFT/DPO) on hosted models 7.
official:MCP server · mcp-proxy-for-awsSDK · @aws-sdk/typeslibrary · aws-lc-sysCLI · awsclirepository · tools-for-devops-agent+190 community tools built for it
for agents: aws-ai-ml · HuggingFace · agents-build
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 4Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 7crates.io: Rust Package Registrycrates.io · read just now
For agents: the 10 actions behind this answer
meta/meta-llama-3-8b · meta/meta-llama-3-8b verified and signed
Base version of Llama 3, an 8 billion parameter language model from Meta.
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
language-modeling · Llama-3.3-nemotron-super-49b-v1.5-PB-25h2 verified and signed
Task: Language Modeling
finetune · olive found in code, not yet checked
Fine-tune a model using LoRA/QLoRA. Returns a job_id — use get_job_status() to poll.
aws-ai-ml · aws-ai-ml verified and signed
Selects, deploys, and customizes AI models on Amazon SageMaker. Training or Processing jobs, fine-tuning (SFT/DPO/RLVR/RLAIF), model selection, dataset preparation, evaluation, SageMaker or Bedrock deployment, inference optimization and endpoint diagnostics. Covers the full lifecycle from planning t
llm · deepagents verified and signed
firecrawl-knowledge-base · firecrawl-knowledge-base verified and signed
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
agent-platform-tuning · agent-platform-tuning verified and signed
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-
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.