The request names the model Llama-3.2-1B-Instruct, a small chat-tuned model from Meta, so the answer is about running that model. Replicate offers a cloud API to run open-source models, including Meta's Llama 3 8B instruct model 25, while SGLang is an open-source serving framework for large language models that could host a 1B model yourself 3; the source pages do not confirm a 1B Llama 3.2 listing on either.
- 1
Replicatereplicate.comverified and signed
Runs open-source machine learning models through a cloud API, with a Meta Llama 3 8B instruct model available for chat completions 5.
for agents: meta/meta-llama-3-8b-instruct · meta/meta-llama-3-8b · prunaai/meta-llama-3-8b
- 2
SGLangsglang.iowebsite read, tools not yet checked
Open-source serving framework for large language and multimodal models, supporting deployment from a single accelerator to distributed clusters 3.
+2 community tools built for it
- 3
GitHubgithub.comverified and signed
Developer platform whose agent-skill and model-recommendation actions can help choose an AI model for a given task based on capability and cost 4.
official:CLI · github-mcp-serverskill · add-community-extensionskill · git-commitskill · acquire-codebase-knowledge+2,563 community tools built for it
for agents: model-recommendation · create-llms · generate-custom-instructions-from-codebase
Sources
- 1GitHub · Change is constant. GitHub keeps you ahead. · GitHub · GitHubgithub.com · read 2026-10-29
- 2Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 3SGLang – Fast, Open-Source LLM & Multimodal Serving Frameworksglang.io · read 2026-10-29
- 4model-recommendation: declares "model-recommendation" (the record we read and signed)unfragile.ai · read 2026-10-24
- 5meta/meta-llama-3-8b-instruct: declares "meta/meta-llama-3-8b-instruct" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
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
meta/meta-llama-3-8b-instruct · meta/meta-llama-3-8b-instruct verified and signed
An 8 billion parameter language model from Meta, fine tuned for chat completions
meta/meta-llama-3-70b-instruct · meta/meta-llama-3-70b-instruct verified and signed
A 70 billion parameter language model from Meta, fine tuned for chat completions
meta/llama-4-maverick-instruct · meta/llama-4-maverick-instruct verified and signed
A 17 billion parameter model with 128 experts
meta/llama-4-scout-instruct · meta/llama-4-scout-instruct verified and signed
A 17 billion parameter model with 16 experts
meta/codellama-13b-instruct · meta/codellama-13b-instruct verified and signed
A 13 billion parameter Llama tuned for coding and conversation
meta/codellama-34b-instruct · meta/codellama-34b-instruct verified and signed
A 34 billion parameter Llama tuned for coding and conversation
meta/codellama-7b-instruct · meta/codellama-7b-instruct verified and signed
A 7 billion parameter Llama tuned for coding and conversation
meta/codellama-70b-instruct · meta/codellama-70b-instruct verified and signed
A 70 billion parameter Llama tuned for coding and conversation
· SGLang website read, tools not yet checked
SGLang powers fast, scalable inference for large language and multimodal models. Open-source serving framework with state-of-the-art performance.
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.