Instructions to use appvoid/cortex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appvoid/cortex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="appvoid/cortex", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("appvoid/cortex", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use appvoid/cortex with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "appvoid/cortex" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cortex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/appvoid/cortex
- SGLang
How to use appvoid/cortex 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 "appvoid/cortex" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cortex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "appvoid/cortex" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cortex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use appvoid/cortex with Docker Model Runner:
docker model run hf.co/appvoid/cortex
unified-v1-canvas_patch8-braille-s42: state and inference synchronized at checkpoint-000000000100
Browse files- experiments.csv +4 -0
- unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/COMPLETE +1 -0
- unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/metadata.json +9 -0
- unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/training.pt +3 -0
- unified/ablations/unified-v1-canvas_patch8-braille-s42/inference/data_progress.json +54 -17
- unified/ablations/unified-v1-canvas_patch8-braille-s42/inference/experiment_config.json +54 -17
- unified/ablations/unified-v1-canvas_patch8-braille-s42/inference/model.safetensors +1 -1
experiments.csv
CHANGED
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@@ -35,3 +35,7 @@ unified-v1-sparkbet-ascii-s42,ablation,codec,sparkbet,ascii,42,50,0,running,fres
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| 41 |
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unified-v1-canvas_patch8-braille-s42,ablation,canvas_flow,canvas_patch8,braille,42,100,0,running,fresh_matched_seed,7005,7005,13.607682563000026,0.0,9215431,1024,1.775963056832552,2.8213600770316343,4836932,47.301836873000525,102256.74772391087,0.5907701253890991,0,bf16,0,269ba207e744573779747b593ffbcd8a87683fd55c83f6b168c658206d9aeb98,af33c522ea4349d5aae0491f7fe085d4bea1b044b08ff57eb064354bbb96435f,"{""climbmix"": {""documents_emitted"": 989, ""epoch"": 0, ""prepared_position"": 3299, ""rows_read"": 990, ""shard"": 0, ""shards"": 6543}, ""rewrite6"": {""documents_emitted"": 389, ""epoch"": 0, ""prepared_position"": 522, ""rows_read"": 390, ""shard"": 0, ""shards"": 1}, ""ultra_qa"": {""documents_emitted"": 217, ""epoch"": 0, ""prepared_position"": 950, ""rows_read"": 218, ""shard"": 0, ""shards"": 616}, ""ultra_style"": {""documents_emitted"": 273, ""epoch"": 0, ""prepared_position"": 959, ""rows_read"": 274, ""shard"": 0, ""shards"": 552}}"
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unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/COMPLETE
ADDED
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complete
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unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/metadata.json
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{
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"format": "cortex-unified-v1",
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unified/ablations/unified-v1-canvas_patch8-braille-s42/checkpoint-000000000100/training.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7954a3dd020a1e8e44546ebe81e2cab6ec7edb2cb5517050f98fe4ee9b4d683c
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size 110815977
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unified/ablations/unified-v1-canvas_patch8-braille-s42/inference/data_progress.json
CHANGED
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@@ -1,47 +1,84 @@
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{
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"step":
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