The request names a specific model, meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-500total, which is a Hugging Face-style model identifier; the closest indexed match is Meta's Llama 3 8B Instruct, which Replicate runs through its API 17. Hugging Face hosts the model repository and its CLI can download and manage it 511, and Ollama can run open models locally 4.
A question back: Which platform or runtime do you want to run this model on (Replicate API, Hugging Face, local with Ollama, or a GPU instance such as Brev/NVIDIA)?
- 1
- 2
Hugging Face Hub CLI (hf)huggingface.coverified and signed
Downloads, uploads and manages models on the Hugging Face Hub, which is where a Hugging Face-style model identifier is hosted 511.
official:SDK · hf-xetCLI · hf-mountskill · hf-cliskill · hf-cloud-aws-context-discovery
for agents: hf-cli · hf-mem · hf-cloud-serving-image-selection
- 3
Ollamaollama.comwebsite read, tools not yet checked
Runs open AI models locally or in the cloud on macOS, Windows and Linux 4.
+136 community tools built for it
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 4Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 5Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 7meta/meta-llama-3-8b-instruct: declares "meta/meta-llama-3-8b-instruct" (the record we read and signed)unfragile.ai · read 2026-10-24
- 11hf-cli: declares "hf-cli" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
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/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
llama-3.1-nemotron-70b-instruct · Llama-3.1-Nemotron-70B-Instruct verified and signed
Task: Llama-3.1-Nemotron-70B-Instruct
ibm-granite/granite-3.3-8b-instruct · ibm-granite/granite-3.3-8b-instruct verified and signed
Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities.
meta/llama-guard-3-8b · meta/llama-guard-3-8b verified and signed
A Llama-3.1-8B pretrained model, fine-tuned for content safety classification
meta/llama-4-maverick-instruct · meta/llama-4-maverick-instruct verified and signed
A 17 billion parameter model with 128 experts
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.