初始化项目，由ModelHub XC社区提供模型
Model: togethercomputer/RedPajama-INCITE-7B-Chat Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- en
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datasets:
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- togethercomputer/RedPajama-Data-1T
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- OpenAssistant/oasst1
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- databricks/databricks-dolly-15k
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widget:
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- text: "<human>: Write an email to my friends inviting them to come to my home on Friday for a dinner party, bring their own food to share.\n<bot>:"
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example_title: "Email Writing"
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- text: "<human>: Create a list of things to do in San Francisco\n<bot>:"
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example_title: "Brainstorming"
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inference:
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parameters:
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temperature: 0.7
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top_p: 0.7
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top_k: 50
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max_new_tokens: 128
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---
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# RedPajama-INCITE-7B-Chat
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RedPajama-INCITE-7B-Chat was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research group and LAION.
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It is fine-tuned on OASST1 and Dolly2 to enhance chatting ability.
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- Base Model: [RedPajama-INCITE-7B-Base](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Base)
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- Instruction-tuned Version: [RedPajama-INCITE-7B-Instruct](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Instruct)
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- Chat Version: [RedPajama-INCITE-7B-Chat](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Chat)
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## Model Details
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- **Developed by**: Together Computer.
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- **Model type**: Language Model
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- **Language(s)**: English
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- **License**: Apache 2.0
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- **Model Description**: A 6.9B parameter pretrained language model.
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# Quick Start
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Please note that the model requires `transformers` version >= 4.25.1.
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To prompt the chat model, use the following format:
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```
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<human>: [Instruction]
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<bot>:
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```
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## GPU Inference
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This requires a GPU with 16GB memory.
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```python
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import torch
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import transformers
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from transformers import AutoTokenizer, AutoModelForCausalLM
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MIN_TRANSFORMERS_VERSION = '4.25.1'
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# check transformers version
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assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
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# init
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tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat")
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model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat", torch_dtype=torch.float16)
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model = model.to('cuda:0')
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# infer
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prompt = "<human>: Who is Alan Turing?\n<bot>:"
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inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
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input_length = inputs.input_ids.shape[1]
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outputs = model.generate(
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**inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
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)
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token = outputs.sequences[0, input_length:]
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output_str = tokenizer.decode(token)
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print(output_str)
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"""
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Alan Mathison Turing (23 June 1912 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, mathematician, and theoretical biologist.
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"""
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```
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## GPU Inference in Int8
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This requires a GPU with 12GB memory.
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To run inference with int8, please ensure you have installed accelerate and bitandbytes. You can install them with the following command:
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```bash
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pip install accelerate
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pip install bitsandbytes
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```
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Then you can run inference with int8 as follows:
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```python
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import torch
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import transformers
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from transformers import AutoTokenizer, AutoModelForCausalLM
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MIN_TRANSFORMERS_VERSION = '4.25.1'
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# check transformers version
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assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
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# init
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tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat")
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model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat", device_map='auto', torch_dtype=torch.float16, load_in_8bit=True)
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# infer
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prompt = "<human>: Who is Alan Turing?\n<bot>:"
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inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
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input_length = inputs.input_ids.shape[1]
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outputs = model.generate(
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**inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
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)
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token = outputs.sequences[0, input_length:]
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output_str = tokenizer.decode(token)
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print(output_str)
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"""
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Alan Mathison Turing (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist.
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"""
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```
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## CPU Inference
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```python
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import torch
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import transformers
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from transformers import AutoTokenizer, AutoModelForCausalLM
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MIN_TRANSFORMERS_VERSION = '4.25.1'
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# check transformers version
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assert transformers.__version__ >= MIN_TRANSFORMERS_VERSION, f'Please upgrade transformers to version {MIN_TRANSFORMERS_VERSION} or higher.'
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# init
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tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat")
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model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-7B-Chat", torch_dtype=torch.bfloat16)
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# infer
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prompt = "<human>: Who is Alan Turing?\n<bot>:"
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inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
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input_length = inputs.input_ids.shape[1]
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outputs = model.generate(
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**inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
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)
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token = outputs.sequences[0, input_length:]
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output_str = tokenizer.decode(token)
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print(output_str)
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"""
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Alan Mathison Turing, OBE, FRS, (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist.
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"""
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```
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Please note that since `LayerNormKernelImpl` is not implemented in fp16 for CPU, we use `bfloat16` for CPU inference.
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# Uses
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## Direct Use
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Excluded uses are described below.
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### Misuse, Malicious Use, and Out-of-Scope Use
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It is the responsibility of the end user to ensure that the model is used in a responsible and ethical manner.
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#### Out-of-Scope Use
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`RedPajama-INCITE-7B-Chat` is a language model and may not perform well for other use cases outside of its intended scope.
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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.
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It is important to consider the limitations of the model and to only use it for its intended purpose.
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#### Misuse and Malicious Use
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`RedPajama-INCITE-7B-Chat` is designed for language modeling.
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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 project.
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Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
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- Generating fake news, misinformation, or propaganda
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- Promoting hate speech, discrimination, or violence against individuals or groups
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- Impersonating individuals or organizations without their consent
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- Engaging in cyberbullying or harassment
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- Defamatory content
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- Spamming or scamming
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- Sharing confidential or sensitive information without proper authorization
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- Violating the terms of use of the model or the data used to train it
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- Creating automated bots for malicious purposes such as spreading malware, phishing scams, or spamming
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## Limitations
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`RedPajama-INCITE-7B-Chat`, like other language models, has limitations that should be taken into consideration.
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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.
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We therefore welcome contributions from individuals and organizations, and encourage collaboration towards creating a more robust and inclusive chatbot.
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## Training
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**Training Data**
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Please refer to [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
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**Training Procedure**
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- **Hardware:** 8 A100
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- **Optimizer:** Adam
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- **Gradient Accumulations**: 1
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- **Num of Tokens:** 79M tokens
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- **Learning rate:** 1e-5
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## Community
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Join us on [Together Discord](https://discord.gg/6ZVDU8tTD4)
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config.json
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"layer_norm_eps": 1e-05,
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"rotary_pct": 1.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"use_parallel_residual": false,
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"vocab_size": 50432
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}
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|
||||
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|
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|
||||
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|
||||
}
|
||||
}
|
||||
5
special_tokens_map.json
Normal file
5
special_tokens_map.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3cf430678137c8491ca82fb7092ee49e44ad38857fffe1e4a4a5ed860139a5b8
|
||||
size 2113738
|
||||
9
tokenizer_config.json
Normal file
9
tokenizer_config.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"bos_token": "<|endoftext|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 2048,
|
||||
"tokenizer_class": "GPTNeoXTokenizer",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
Reference in New Issue
Block a user