Text Generation
Transformers
Safetensors
English
qwen2
verifier
answer-verification
llm-cascade
model-cascade
escalation
llm-router
orchestration
multi-agent
conversational
Eval Results (legacy)
text-generation-inference
Instructions to use podstack/Jedi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use podstack/Jedi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="podstack/Jedi") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("podstack/Jedi") model = AutoModelForCausalLM.from_pretrained("podstack/Jedi", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use podstack/Jedi with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "podstack/Jedi" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "podstack/Jedi", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/podstack/Jedi
- SGLang
How to use podstack/Jedi with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "podstack/Jedi" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "podstack/Jedi", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "podstack/Jedi" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "podstack/Jedi", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use podstack/Jedi with Docker Model Runner:
docker model run hf.co/podstack/Jedi
Download eval_results.json from podstack/Jedi: direct link, hf CLI and curl.
- Browser
- Download file 17 kB
-
https://huggingface.co/podstack/Jedi/resolve/main/eval_results.json
- Command line
-
hf download hf://podstack/Jedi/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/podstack/Jedi/resolve/main/eval_results.json
17 kB
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| } | |
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| ], | |
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| "policies": { | |
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| "ladder:oracle": { | |
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| }, | |
| "shaktimaan-v1.0": { | |
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| } | |
| }, | |
| "jedi_curve": [ | |
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| "silent_failure_rate": 0.0754, | |
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| }, | |
| { | |
| "threshold": 0.1, | |
| "accuracy": 0.9145, | |
| "relative_cost": 0.2634, | |
| "silent_failure_rate": 0.0652, | |
| "calls_per_task": 1.096, | |
| "extra_agent_latency_s": 9.49 | |
| }, | |
| { | |
| "threshold": 0.2, | |
| "accuracy": 0.9124, | |
| "relative_cost": 0.2746, | |
| "silent_failure_rate": 0.0652, | |
| "calls_per_task": 1.098, | |
| "extra_agent_latency_s": 9.69 | |
| }, | |
| { | |
| "threshold": 0.3, | |
| "accuracy": 0.9145, | |
| "relative_cost": 0.3229, | |
| "silent_failure_rate": 0.055, | |
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| }, | |
| { | |
| "threshold": 0.4, | |
| "accuracy": 0.9145, | |
| "relative_cost": 0.3551, | |
| "silent_failure_rate": 0.0509, | |
| "calls_per_task": 1.114, | |
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| }, | |
| { | |
| "threshold": 0.5, | |
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| "silent_failure_rate": 0.0448, | |
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| }, | |
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| }, | |
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| "silent_failure_rate": 0.0222 | |
| } | |
| } | |
| }, | |
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| "jedi_input_tokens_mean": 451, | |
| "jedi_output_tokens": 1 | |
| } | |
| } |