Instructions to use TinyPixel/tinyllama-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TinyPixel/tinyllama-random with Transformers:

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

pipe = pipeline("text-generation", model="TinyPixel/tinyllama-random")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TinyPixel/tinyllama-random")
model = AutoModelForCausalLM.from_pretrained("TinyPixel/tinyllama-random")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TinyPixel/tinyllama-random with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/TinyPixel/tinyllama-random

SGLang

How to use TinyPixel/tinyllama-random 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 "TinyPixel/tinyllama-random" \
    --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": "TinyPixel/tinyllama-random",
		"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 "TinyPixel/tinyllama-random" \
        --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": "TinyPixel/tinyllama-random",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TinyPixel/tinyllama-random with Docker Model Runner:
```
docker model run hf.co/TinyPixel/tinyllama-random
```

TinyPixel commited on Nov 22, 2023

Commit

cf8ea5c

1 Parent(s): 322041c

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

config.json +8 -8
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "TinyPixel/llama-42m",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -7,19 +7,19 @@
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
-  "hidden_size": 512,
   "initializer_range": 0.02,
-  "intermediate_size": 1376,
-  "max_position_embeddings": 1024,
   "model_type": "llama",
-  "num_attention_heads": 8,
-  "num_hidden_layers": 8,
-  "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 10000.0,
-  "tie_word_embeddings": true,
   "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "use_cache": true,

 {
+  "_name_or_path": "TinyPixel/small-llama",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
+  "hidden_size": 16,
   "initializer_range": 0.02,
+  "intermediate_size": 64,
+  "max_position_embeddings": 256,
   "model_type": "llama",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 4,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "use_cache": true,

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