Instructions to use LeoLearntoCode/llama-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LeoLearntoCode/llama-1.3b with Transformers:

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

pipe = pipeline("text-generation", model="LeoLearntoCode/llama-1.3b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LeoLearntoCode/llama-1.3b")
model = AutoModelForCausalLM.from_pretrained("LeoLearntoCode/llama-1.3b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LeoLearntoCode/llama-1.3b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LeoLearntoCode/llama-1.3b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LeoLearntoCode/llama-1.3b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LeoLearntoCode/llama-1.3b

SGLang

How to use LeoLearntoCode/llama-1.3b 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 "LeoLearntoCode/llama-1.3b" \
    --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": "LeoLearntoCode/llama-1.3b",
		"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 "LeoLearntoCode/llama-1.3b" \
        --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": "LeoLearntoCode/llama-1.3b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LeoLearntoCode/llama-1.3b with Docker Model Runner:
```
docker model run hf.co/LeoLearntoCode/llama-1.3b
```

LeoLearntoCode commited on May 24, 2024

Commit

c0d52e4

verified ·

1 Parent(s): a542751

Upload LlamaForCausalLM

Browse files

Files changed (2) hide show

config.json +3 -2
generation_config.json +1 -1

config.json CHANGED Viewed

@@ -10,7 +10,8 @@
   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 5504,
-  "max_position_embeddings": 2048,
   "model_type": "llama",
   "num_attention_heads": 32,
   "num_hidden_layers": 24,
@@ -22,7 +23,7 @@
   "rope_theta": 10000.0,
   "tie_word_embeddings": true,
   "torch_dtype": "float16",
-  "transformers_version": "4.40.2",
   "use_cache": true,
   "vocab_size": 50277
 }

   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 5504,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 32,
   "num_hidden_layers": 24,
   "rope_theta": 10000.0,
   "tie_word_embeddings": true,
   "torch_dtype": "float16",
+  "transformers_version": "4.41.1",
   "use_cache": true,
   "vocab_size": 50277
 }

generation_config.json CHANGED Viewed

@@ -3,5 +3,5 @@
   "bos_token_id": 1,
   "eos_token_id": 2,
   "pad_token_id": 0,
-  "transformers_version": "4.40.2"
 }

   "bos_token_id": 1,
   "eos_token_id": 2,
   "pad_token_id": 0,
+  "transformers_version": "4.41.1"
 }