L3.3-Cu-Mai-R1-70b is a 70-billion-parameter model, not a product name in the sources, so the closest match is Meta's Llama 3 70B family served through hosted APIs. Replicate offers Llama 3 70B and 70B Instruct via a cloud API 17, and SGLang and Llama app are self-hosted alternatives for running open models 56. Whether you want a hosted API or a local run depends on your platform and constraints, which the request does not state.
A question back: Do you want to call this model through a hosted API, or run it yourself, and on which platform (cloud, Mac, Windows, Linux GPU server)?
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Replicatereplicate.comverified and signed
Hosts meta/meta-llama-3-70b-instruct, a 70 billion parameter Meta language model fine-tuned for chat completions, and meta/meta-llama-3-70b, the base Llama 3 70B model, callable through a cloud API 17.
for agents: meta/meta-llama-3-70b-instruct · meta/meta-llama-3-70b
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SGLangsglang.iowebsite read, tools not yet checked
Open-source serving framework for large language models that provides fast, scalable inference for self-hosted deployment from a single accelerator to clusters 5.
+2 community tools built for it
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Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 5SGLang – Fast, Open-Source LLM & Multimodal Serving Frameworksglang.io · read 2026-10-29
- 6Llama · Your AI, on your computerllama.app · read 2026-10-29
- 7meta/meta-llama-3-70b-instruct: declares "meta/meta-llama-3-70b-instruct" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
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
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
lucataco/ollama-llama3-70b · lucataco/ollama-llama3-70b verified and signed
Cog wrapper for Ollama llama3:70b
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
meta/codellama-70b-instruct · meta/codellama-70b-instruct verified and signed
A 70 billion parameter Llama tuned for coding and conversation
meta/llama-2-70b-chat · meta/llama-2-70b-chat verified and signed
A 70 billion parameter language model from Meta, fine tuned for chat completions
langchain · Docs by LangChain verified and signed
Use when building AI agents, integrating language models with
meta/llama-4-maverick-instruct · meta/llama-4-maverick-instruct verified and signed
A 17 billion parameter model with 128 experts
lucataco/deepseek-r1-70b · lucataco/deepseek-r1-70b verified and signed
DeepSeek's first generation reasoning models with comparable performance to OpenAI-o1
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.