LLaMAX3-8B-Alpaca is an open model, not a hosted service, so you run it through a platform that hosts or serves open Llama 3 8B models. Replicate offers a cloud API that runs open-source models such as Meta's Llama 3 8B 1, while Hugging Face hosts open models and provides an inference-oriented SDK and MCP server 3; Ollama and LocalAI let you run open models locally 45.
- 1
Replicatereplicate.comverified and signed
Runs open-source machine learning models such as Meta's Llama 3 8B through a cloud API 1.
+14 community tools built for it
for agents: meta/meta-llama-3-8b · meta/meta-llama-3-8b-instruct · meta/llama-guard-3-8b
- 2
Hugging Facehuggingface.coverified and signed
Hosts open models and datasets and provides an SDK and MCP server to access them programmatically 3.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: llm · models · llm
- 3
Ollamaollama.comwebsite read, tools not yet checked
Runs open AI models locally or in the cloud on macOS, Windows, and Linux 4.
+141 community tools built for it
- 4
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 3Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 4Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 5LocalAI · Make AI run on every machinelocalai.io · read 2026-10-29
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.
llama3 · Meta/Llama3-8b-instruct verified and signed
Task: llama3
llm · @huggingface/tiny-agents verified and signed
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
list_models · LocalAI (Activepieces) verified and signed
List Models — List the models installed on your LocalAI server.
estimate_cost · //beforeyouship — LLM cost modeling from your editor verified and signed
Model the realistic monthly cost of an LLM app architecture across models. Pick an archetype (see list_archetypes), give calls_per_day, and optionally override token counts and multipliers. Returns Naive / Realistic / Worst Case monthly costs, growth scenarios, and an opinionated model recommendatio
· 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.
· TokenAssemble website read, tools not yet checked
Check if a GPU, Mac, or mini-PC can run a local AI model with Ollama, LM Studio or llama.cpp. VRAM fit, quantization, context length and speed tiers.
Compare models · modelright verified and signed
Side-by-side comparison of 2-10 models by provider/slug: context window, input/output price per 1M tokens, modalities, status.
chat · unorouter-mcp found in code, not yet checked
Send a single prompt to any UnoRouter model and return the reply. Use search_models to find model IDs; :free models cost nothing (light per-model rate limit, rotate models if you hit 429).
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.