Instructions to use togethercomputer/RedPajama-INCITE-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use togethercomputer/RedPajama-INCITE-7B-Chat with Transformers:

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

pipe = pipeline("text-generation", model="togethercomputer/RedPajama-INCITE-7B-Chat")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat")
model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use togethercomputer/RedPajama-INCITE-7B-Chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "togethercomputer/RedPajama-INCITE-7B-Chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "togethercomputer/RedPajama-INCITE-7B-Chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/togethercomputer/RedPajama-INCITE-7B-Chat

SGLang

How to use togethercomputer/RedPajama-INCITE-7B-Chat 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 "togethercomputer/RedPajama-INCITE-7B-Chat" \
    --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": "togethercomputer/RedPajama-INCITE-7B-Chat",
		"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 "togethercomputer/RedPajama-INCITE-7B-Chat" \
        --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": "togethercomputer/RedPajama-INCITE-7B-Chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use togethercomputer/RedPajama-INCITE-7B-Chat with Docker Model Runner:
```
docker model run hf.co/togethercomputer/RedPajama-INCITE-7B-Chat
```

xzyao commited on May 5, 2023

Commit

ab117c1

1 Parent(s): c5c8ebc

update readme.md

Browse files

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README.md +11 -11

README.md CHANGED Viewed

@@ -4,9 +4,9 @@ language:
 - en
 ---
-# RedPajama-Chat-INCITE-6.9B
-RedPajama-Chat-INCITE-6.9B-v1, is a large transformer-based language model developed by Together Computer and trained on the RedPajama-Data-1T dataset.
 It is further fine-tuned on OASST1 and Dolly2 to enhance chatting ability.
 ## Model Details
@@ -41,8 +41,8 @@ MIN_TRANSFORMERS_VERSION = '4.25.1'
 assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
 # init
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1")
-model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1", torch_dtype=torch.float16)
 model = model.to('cuda:0')
 # infer
 prompt = "<human>: Who is Alan Turing?\n<bot>:"
@@ -83,8 +83,8 @@ MIN_TRANSFORMERS_VERSION = '4.25.1'
 assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
 # init
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1")
-model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1", device_map='auto', torch_dtype=torch.float16, load_in_8bit=True)
 # infer
 prompt = "<human>: Who is Alan Turing?\n<bot>:"
@@ -106,8 +106,8 @@ Alan Mathison Turing (23 June 1912 – 7 June 1954) was an English computer scie
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 # init
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1")
-model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-Chat-INCITE-6.9B-v1", torch_dtype=torch.bfloat16)
 # infer
 inputs = tokenizer("<human>: Hello!\n<bot>:", return_tensors='pt').to(model.device)
 outputs = model.generate(**inputs, max_new_tokens=10, do_sample=True, temperature=0.8)
@@ -141,13 +141,13 @@ It is the responsibility of the end user to ensure that the model is used in a r
 #### Out-of-Scope Use
-RedPajama-Chat-INCITE-6.9B is a language model and may not perform well for other use cases outside of its intended scope.
 For example, it may not be suitable for use in safety-critical applications or for making decisions that have a significant impact on individuals or society.
 It is important to consider the limitations of the model and to only use it for its intended purpose.
 #### Misuse and Malicious Use
-RedPajama-Chat-INCITE-6.9B is designed for language modeling.
 Misuse of the model, such as using it to engage in illegal or unethical activities, is strictly prohibited and goes against the principles of the OpenChatKit community project.
 Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
@@ -164,7 +164,7 @@ Using the model to generate content that is cruel to individuals is a misuse of
 ## Limitations
-RedPajama-Chat-INCITE-6.9B, like other language models, has limitations that should be taken into consideration.
 For example, the model may not always provide accurate or relevant answers, particularly for questions that are complex, ambiguous, or outside of its training data.
 We therefore welcome contributions from individuals and organizations, and encourage collaboration towards creating a more robust and inclusive chatbot.

 - en
 ---
+# RedPajama-INCITE-Chat-7B-v0.1
+RedPajama-INCITE-Chat-7B-v0.1, is a large transformer-based language model developed by Together Computer and trained on the RedPajama-Data-1T dataset.
 It is further fine-tuned on OASST1 and Dolly2 to enhance chatting ability.
 ## Model Details
 assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
 # init
+tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1")
+model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1", torch_dtype=torch.float16)
 model = model.to('cuda:0')
 # infer
 prompt = "<human>: Who is Alan Turing?\n<bot>:"
 assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
 # init
+tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1")
+model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1", device_map='auto', torch_dtype=torch.float16, load_in_8bit=True)
 # infer
 prompt = "<human>: Who is Alan Turing?\n<bot>:"
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 # init
+tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1")
+model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1", torch_dtype=torch.bfloat16)
 # infer
 inputs = tokenizer("<human>: Hello!\n<bot>:", return_tensors='pt').to(model.device)
 outputs = model.generate(**inputs, max_new_tokens=10, do_sample=True, temperature=0.8)
 #### Out-of-Scope Use
+`RedPajama-INCITE-Chat-7B-v0.1` is a language model and may not perform well for other use cases outside of its intended scope.
 For example, it may not be suitable for use in safety-critical applications or for making decisions that have a significant impact on individuals or society.
 It is important to consider the limitations of the model and to only use it for its intended purpose.
 #### Misuse and Malicious Use
+`RedPajama-INCITE-Chat-7B-v0.1` is designed for language modeling.
 Misuse of the model, such as using it to engage in illegal or unethical activities, is strictly prohibited and goes against the principles of the OpenChatKit community project.
 Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
 ## Limitations
+`RedPajama-INCITE-Chat-7B-v0.1`, like other language models, has limitations that should be taken into consideration.
 For example, the model may not always provide accurate or relevant answers, particularly for questions that are complex, ambiguous, or outside of its training data.
 We therefore welcome contributions from individuals and organizations, and encourage collaboration towards creating a more robust and inclusive chatbot.