Spaces:
Sleeping
Sleeping
| import { describe, expect, it } from "vitest"; | |
| import { LOCAL_APPS } from "./local-apps.js"; | |
| import type { ModelData } from "./model-data.js"; | |
| describe("local-apps", () => { | |
| it("llama.cpp conversational", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["llama.cpp"]; | |
| const model: ModelData = { | |
| id: "bartowski/Llama-3.2-3B-Instruct-GGUF", | |
| tags: ["conversational"], | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect(snippet[0].content).toEqual([ | |
| `# Start a local OpenAI-compatible server with a web UI: | |
| llama-server -hf bartowski/Llama-3.2-3B-Instruct-GGUF:{{QUANT_TAG}}`, | |
| `# Run inference directly in the terminal: | |
| llama-cli -hf bartowski/Llama-3.2-3B-Instruct-GGUF:{{QUANT_TAG}}`, | |
| ]); | |
| }); | |
| it("llama.cpp non-conversational", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["llama.cpp"]; | |
| const model: ModelData = { | |
| id: "mlabonne/gemma-2b-GGUF", | |
| tags: [], | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect(snippet[0].content).toEqual([ | |
| `# Start a local OpenAI-compatible server with a web UI: | |
| llama-server -hf mlabonne/gemma-2b-GGUF:{{QUANT_TAG}}`, | |
| `# Run inference directly in the terminal: | |
| llama-cli -hf mlabonne/gemma-2b-GGUF:{{QUANT_TAG}}`, | |
| ]); | |
| }); | |
| it("vLLM conversational llm", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["vllm"]; | |
| const model: ModelData = { | |
| id: "meta-llama/Llama-3.2-3B-Instruct", | |
| pipeline_tag: "text-generation", | |
| tags: ["conversational"], | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect((snippet[0].content as string[]).join("\n")).toEqual(`# Start the vLLM server: | |
| vllm serve "meta-llama/Llama-3.2-3B-Instruct" | |
| # Call the server using curl (OpenAI-compatible API): | |
| curl -X POST "http://localhost:8000/v1/chat/completions" \\ | |
| -H "Content-Type: application/json" \\ | |
| --data '{ | |
| "model": "meta-llama/Llama-3.2-3B-Instruct", | |
| "messages": [ | |
| { | |
| "role": "user", | |
| "content": "What is the capital of France?" | |
| } | |
| ] | |
| }'`); | |
| }); | |
| it("vLLM non-conversational llm", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["vllm"]; | |
| const model: ModelData = { | |
| id: "meta-llama/Llama-3.2-3B", | |
| tags: [""], | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect((snippet[0].content as string[]).join("\n")).toEqual(`# Start the vLLM server: | |
| vllm serve "meta-llama/Llama-3.2-3B" | |
| # Call the server using curl (OpenAI-compatible API): | |
| curl -X POST "http://localhost:8000/v1/completions" \\ | |
| -H "Content-Type: application/json" \\ | |
| --data '{ | |
| "model": "meta-llama/Llama-3.2-3B", | |
| "prompt": "Once upon a time,", | |
| "max_tokens": 512, | |
| "temperature": 0.5 | |
| }'`); | |
| }); | |
| it("vLLM conversational vlm", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["vllm"]; | |
| const model: ModelData = { | |
| id: "meta-llama/Llama-3.2-11B-Vision-Instruct", | |
| pipeline_tag: "image-text-to-text", | |
| tags: ["conversational"], | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect((snippet[0].content as string[]).join("\n")).toEqual(`# Start the vLLM server: | |
| vllm serve "meta-llama/Llama-3.2-11B-Vision-Instruct" | |
| # Call the server using curl (OpenAI-compatible API): | |
| curl -X POST "http://localhost:8000/v1/chat/completions" \\ | |
| -H "Content-Type: application/json" \\ | |
| --data '{ | |
| "model": "meta-llama/Llama-3.2-11B-Vision-Instruct", | |
| "messages": [ | |
| { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Describe this image in one sentence." | |
| }, | |
| { | |
| "type": "image_url", | |
| "image_url": { | |
| "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" | |
| } | |
| } | |
| ] | |
| } | |
| ] | |
| }'`); | |
| }); | |
| it("docker model runner", async () => { | |
| const { snippet: snippetFunc } = LOCAL_APPS["docker-model-runner"]; | |
| const model: ModelData = { | |
| id: "bartowski/Llama-3.2-3B-Instruct-GGUF", | |
| tags: ["conversational"], | |
| gguf: { total: 1, context_length: 4096 }, | |
| inference: "", | |
| }; | |
| const snippet = snippetFunc(model); | |
| expect(snippet).toEqual(`docker model run hf.co/bartowski/Llama-3.2-3B-Instruct-GGUF:{{QUANT_TAG}}`); | |
| }); | |
| }); | |