Instructions to use lambda/pythia-1.4b-deduped-synthetic-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lambda/pythia-1.4b-deduped-synthetic-instruct with Transformers:

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

pipe = pipeline("text-generation", model="lambda/pythia-1.4b-deduped-synthetic-instruct")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("lambda/pythia-1.4b-deduped-synthetic-instruct")
model = AutoModelForCausalLM.from_pretrained("lambda/pythia-1.4b-deduped-synthetic-instruct")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use lambda/pythia-1.4b-deduped-synthetic-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lambda/pythia-1.4b-deduped-synthetic-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lambda/pythia-1.4b-deduped-synthetic-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lambda/pythia-1.4b-deduped-synthetic-instruct

SGLang

How to use lambda/pythia-1.4b-deduped-synthetic-instruct 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 "lambda/pythia-1.4b-deduped-synthetic-instruct" \
    --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": "lambda/pythia-1.4b-deduped-synthetic-instruct",
		"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 "lambda/pythia-1.4b-deduped-synthetic-instruct" \
        --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": "lambda/pythia-1.4b-deduped-synthetic-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use lambda/pythia-1.4b-deduped-synthetic-instruct with Docker Model Runner:
```
docker model run hf.co/lambda/pythia-1.4b-deduped-synthetic-instruct
```

chuanli-lambda commited on Mar 15, 2023

Commit

64cb627

1 Parent(s): 9723f98

Upload tokenizer

Browse files

Files changed (2) hide show

tokenizer.json +1 -8
tokenizer_config.json +1 -1

tokenizer.json CHANGED Viewed

@@ -1,14 +1,7 @@
 {
   "version": "1.0",
   "truncation": null,
-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "<|endoftext|>"
-  },
   "added_tokens": [
     {
       "id": 0,

 {
   "version": "1.0",
   "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

tokenizer_config.json CHANGED Viewed

@@ -3,7 +3,7 @@
   "bos_token": "<|endoftext|>",
   "eos_token": "<|endoftext|>",
   "model_max_length": 1000000000000000019884624838656,
-  "name_or_path": "/home/ubuntu/ckpts/ft-synthetic-instruct-gptj-pairwise-pythia1.4b-2000",
   "special_tokens_map_file": "/fsx/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/3523781c8df75f7741687a4284f6f70e1afa12f4/special_tokens_map.json",
   "tokenizer_class": "GPTNeoXTokenizer",
   "unk_token": "<|endoftext|>"

   "bos_token": "<|endoftext|>",
   "eos_token": "<|endoftext|>",
   "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "/home/ubuntu/llm/outputs/ft-synthetic-instruct-gptj-pairwise-pythia2.8b-deepspeed/resume/checkpoint-6000",
   "special_tokens_map_file": "/fsx/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/3523781c8df75f7741687a4284f6f70e1afa12f4/special_tokens_map.json",
   "tokenizer_class": "GPTNeoXTokenizer",
   "unk_token": "<|endoftext|>"