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Ilides
/
cortex-v0.9-0.1b

Text Generation
Transformers
Safetensors
cortex
spanish
bilingual
conversational
causal-lm
from-scratch
numpy
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Ilides/cortex-v0.9-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ilides/cortex-v0.9-0.1b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Ilides/cortex-v0.9-0.1b", trust_remote_code=True)
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("Ilides/cortex-v0.9-0.1b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Ilides/cortex-v0.9-0.1b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Ilides/cortex-v0.9-0.1b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Ilides/cortex-v0.9-0.1b",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/Ilides/cortex-v0.9-0.1b
  • SGLang

    How to use Ilides/cortex-v0.9-0.1b 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 "Ilides/cortex-v0.9-0.1b" \
        --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": "Ilides/cortex-v0.9-0.1b",
    		"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 "Ilides/cortex-v0.9-0.1b" \
            --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": "Ilides/cortex-v0.9-0.1b",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use Ilides/cortex-v0.9-0.1b with Docker Model Runner:

    docker model run hf.co/Ilides/cortex-v0.9-0.1b
cortex-v0.9-0.1b
506 MB
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  • 1 contributor
History: 10 commits
Ilides's picture
Ilides
Quitar benchmark.png: corresponde al modelo viejo cortex-0.3-0.02b
b44f702 verified 30 days ago
  • .gitattributes
    1.64 kB
    Upload /cortex-v0.9-0.1b-q8_0.gguf with huggingface_hub about 1 month ago
  • README.md
    3.61 kB
    README: YAML frontmatter válido + métricas reales v0.9 30 days ago
  • config.json
    651 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • configuration_cortex.py
    996 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • generation_config.json
    123 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • merges.txt
    143 kB
    Upload folder using huggingface_hub about 1 month ago
  • model.safetensors
    505 MB
    xet
    Upload folder using huggingface_hub about 1 month ago
  • modeling_cortex.py
    6.64 kB
    Upload folder using huggingface_hub about 1 month ago
  • pretrain_curves.png
    78.3 kB
    Curvas de pretraining reales de v0.3 (sustituyen PNG del modelo viejo) 30 days ago
  • sft_curves.png
    86.3 kB
    Curvas de SFT v0.9 reales (sustituyen PNG del modelo viejo) 30 days ago
  • special_tokens_map.json
    256 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • tokenization_cortex.py
    4.86 kB
    Upload folder using huggingface_hub about 1 month ago
  • tokenizer_config.json
    847 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • vocab.json
    280 kB
    Upload folder using huggingface_hub about 1 month ago