Reddit Models
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Some terrible Reddit models I am training just to see what happens. Never again will I hear "As an AI language model" • 4 items • Updated • 1
How to use gmongaras/Wizard_7B_Reddit_Political_2019 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="gmongaras/Wizard_7B_Reddit_Political_2019") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("gmongaras/Wizard_7B_Reddit_Political_2019")
model = AutoModelForCausalLM.from_pretrained("gmongaras/Wizard_7B_Reddit_Political_2019")How to use gmongaras/Wizard_7B_Reddit_Political_2019 with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gmongaras/Wizard_7B_Reddit_Political_2019"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "gmongaras/Wizard_7B_Reddit_Political_2019",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/gmongaras/Wizard_7B_Reddit_Political_2019
How to use gmongaras/Wizard_7B_Reddit_Political_2019 with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "gmongaras/Wizard_7B_Reddit_Political_2019" \
--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": "gmongaras/Wizard_7B_Reddit_Political_2019",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "gmongaras/Wizard_7B_Reddit_Political_2019" \
--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": "gmongaras/Wizard_7B_Reddit_Political_2019",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use gmongaras/Wizard_7B_Reddit_Political_2019 with Docker Model Runner:
docker model run hf.co/gmongaras/Wizard_7B_Reddit_Political_2019
Model from: https://huggingface.co/TheBloke/wizardLM-7B-HF/tree/main
Trained on: https://huggingface.co/datasets/gmongaras/reddit_political_2019
For about 6000 steps with a batch sise of 8, 2 accumulation steps, and using LoRA adapters on all layers.