Upload togethercomputer/RedPajama-INCITE-Chat-7B-v0.1 ctranslate fp16 weights

README.md

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+---
+tags:
+- ctranslate2
+- int8
+- float16
+
+license: apache-2.0
+language:
+- en
+datasets:
+- togethercomputer/RedPajama-Data-1T
+- OpenAssistant/oasst1
+- databricks/databricks-dolly-15k
+widget:
+- 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>:"
+  example_title: "Email Writing"
+- text: "<human>: Create a list of things to do in San Francisco\n<bot>:"
+  example_title: "Brainstorming"
+inference:
+  parameters:
+    temperature: 0.7
+    top_p: 0.7
+    top_k: 50
+    max_new_tokens: 128
+---
+# # Fast-Inference with Ctranslate2
+Speedup inference by 2x-8x using int8 inference in C++
+
+quantized version of [togethercomputer/RedPajama-INCITE-Chat-7B-v0.1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-7B-v0.1)
+```bash
+pip install hf-hub-ctranslate2>=2.0.6 ctranslate2>=3.13.0
+```
+Converted on 2023-05-19 using
+```
+ct2-transformers-converter --model togethercomputer/RedPajama-INCITE-Chat-7B-v0.1 --output_dir /home/michael/tmp-ct2fast-RedPajama-INCITE-Chat-7B-v0.1 --force --copy_files tokenizer.json README.md tokenizer_config.json generation_config.json special_tokens_map.json .gitattributes --quantization float16
+```
+
+Checkpoint compatible to [ctranslate2](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2](https://github.com/michaelfeil/hf-hub-ctranslate2)
+- `compute_type=int8_float16` for `device="cuda"` 
+- `compute_type=int8`  for `device="cpu"`
+
+```python
+from hf_hub_ctranslate2 import TranslatorCT2fromHfHub, GeneratorCT2fromHfHub
+from transformers import AutoTokenizer
+
+model_name = "michaelfeil/ct2fast-RedPajama-INCITE-Chat-7B-v0.1"
+# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model.
+model = GeneratorCT2fromHfHub(
+        # load in int8 on CUDA
+        model_name_or_path=model_name, 
+        device="cuda",
+        compute_type="int8_float16",
+        tokenizer=AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-7B-v0.1")
+)
+outputs = model.generate(
+    text=["How do you call a fast Flan-ingo?", "User: How are you doing?"],
+)
+print(outputs)
+```
+
+# Licence and other remarks:
+This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.
+
+# Original description
+    
+tags:
+- ctranslate2
+- int8
+- float16
+
+
+# RedPajama-INCITE-Chat-7B-v0.1
+
+RedPajama-INCITE-Chat-7B-v0.1 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. 
+
+It is fine-tuned on OASST1 and Dolly2 to enhance chatting ability.
+
+  - Base Model: [RedPajama-INCITE-Base-7B-v0.1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-7B-v0.1)
+  - Instruction-tuned Version: [RedPajama-INCITE-Instruct-7B-v0.1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1)
+  - Chat Version: [RedPajama-INCITE-Chat-7B-v0.1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-7B-v0.1)
+
+
+## Model Details
+- **Developed by**: Together Computer.
+- **Model type**: Language Model
+- **Language(s)**: English
+- **License**: Apache 2.0
+- **Model Description**: A 6.9B parameter pretrained language model.
+
+# Quick Start
+
+Please note that the model requires `transformers` version >= 4.25.1.
+
+To prompt the chat model, use the following format:
+```
+<human>: [Instruction]
+<bot>:
+```
+
+## GPU Inference
+
+This requires a GPU with 16GB memory.
+
+```python
+import torch
+import transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+MIN_TRANSFORMERS_VERSION = '4.25.1'
+
+# check transformers version
+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>:"
+inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
+input_length = inputs.input_ids.shape[1]
+outputs = model.generate(
+    **inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
+)
+token = outputs.sequences[0, input_length:]
+output_str = tokenizer.decode(token)
+print(output_str)
+"""
+Alan Mathison Turing (23 June 1912  7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, mathematician, and theoretical biologist.
+"""
+```
+
+## GPU Inference in Int8
+
+This requires a GPU with 12GB memory.
+
+To run inference with int8, please ensure you have installed accelerate and bitandbytes. You can install them with the following command:
+
+```bash
+pip install accelerate
+pip install bitsandbytes
+```
+
+Then you can run inference with int8 as follows:
+
+```python
+import torch
+import transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+MIN_TRANSFORMERS_VERSION = '4.25.1'
+
+# check transformers version
+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>:"
+inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
+input_length = inputs.input_ids.shape[1]
+outputs = model.generate(
+    **inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
+)
+token = outputs.sequences[0, input_length:]
+output_str = tokenizer.decode(token)
+print(output_str)
+"""
+Alan Mathison Turing (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist.
+"""
+```
+
+## CPU Inference
+
+```python
+import torch
+import transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+MIN_TRANSFORMERS_VERSION = '4.25.1'
+
+# check transformers version
+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.bfloat16)
+# infer
+prompt = "<human>: Who is Alan Turing?\n<bot>:"
+inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
+input_length = inputs.input_ids.shape[1]
+outputs = model.generate(
+    **inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
+)
+token = outputs.sequences[0, input_length:]
+output_str = tokenizer.decode(token)
+print(output_str)
+"""
+Alan Mathison Turing, OBE, FRS, (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist.
+"""
+```
+
+Please note that since `LayerNormKernelImpl` is not implemented in fp16 for CPU, we use `bfloat16` for CPU inference.
+
+
+# Uses
+
+## Direct Use 
+
+Excluded uses are described below.
+
+### Misuse, Malicious Use, and Out-of-Scope Use
+
+It is the responsibility of the end user to ensure that the model is used in a responsible and ethical manner.
+
+#### 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 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:
+
+- Generating fake news, misinformation, or propaganda
+- Promoting hate speech, discrimination, or violence against individuals or groups
+- Impersonating individuals or organizations without their consent
+- Engaging in cyberbullying or harassment
+- Defamatory content
+- Spamming or scamming
+- Sharing confidential or sensitive information without proper authorization
+- Violating the terms of use of the model or the data used to train it
+- Creating automated bots for malicious purposes such as spreading malware, phishing scams, or spamming
+
+## 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.
+
+## Training
+
+**Training Data**
+
+Please refer to [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
+
+**Training Procedure**
+
+- **Hardware:** 8 A100
+- **Optimizer:** Adam
+- **Gradient Accumulations**: 1
+- **Num of Tokens:** 131M tokens
+- **Learning rate:** 1e-5
+
+## Community
+
+Join us on [Together Discord](https://discord.gg/6ZVDU8tTD4)

config.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.28.1"
+}

model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cbab5c9ca2a8bb76dc0da12acf26b08c0ea1b31a7254e27b6bd2b40cee0d43b0
+size 13714629236

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "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|>"
+}