Instructions to use GGUFGuy/useless-parameters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GGUFGuy/useless-parameters with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="GGUFGuy/useless-parameters")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("GGUFGuy/useless-parameters")
model = AutoModelForCausalLM.from_pretrained("GGUFGuy/useless-parameters", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use GGUFGuy/useless-parameters with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GGUFGuy/useless-parameters"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GGUFGuy/useless-parameters",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/GGUFGuy/useless-parameters

SGLang

How to use GGUFGuy/useless-parameters 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 "GGUFGuy/useless-parameters" \
    --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": "GGUFGuy/useless-parameters",
		"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 "GGUFGuy/useless-parameters" \
        --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": "GGUFGuy/useless-parameters",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use GGUFGuy/useless-parameters with Docker Model Runner:
```
docker model run hf.co/GGUFGuy/useless-parameters
```

useless-parameters / training_run.json

GGUFGuy

HyperDex gpt2-small · 524,288 fineweb-edu tokens · loss 8.2987

8f12189 verified 20 days ago

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602 Bytes

	{
	"job_id": "04f0484fd93a",
	"tier": "gpt2-small",
	"label": "GPT-2 Small",
	"n_params": 114838272,
	"target_tokens": 1000000,
	"tokens_seen": 524288,
	"steps": 1,
	"seq_len": 512,
	"final_loss": 8.298735171556473,
	"best_loss": 8.298735171556473,
	"peak_lr": 0.0003,
	"batch_tokens": 524288,
	"optimizer": "AdamW(0.9, 0.95) wd=0.1 clip=1.0",
	"schedule": "warmup 2% + cosine to 10%",
	"dataset": "HuggingFaceFW/fineweb-edu (sample-10BT)",
	"architecture": "LlamaForCausalLM (SiLU, RMSNorm, RoPE, GQA, tied embeddings)",
	"wall_time_s": 26.348201513290405,
	"trained_by": "GGUFGuy"
	}