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Model: TheBloke/UltraLM-13B-GPTQ Source: Original Platform
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README.md
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---
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datasets:
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- stingning/ultrachat
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inference: false
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license: other
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model_type: llama
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
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</div>
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<div style="display: flex; flex-direction: column; align-items: flex-end;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
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</div>
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</div>
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<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Open BMB's UltraLM 13B fp16
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These files are pytorch format fp16 model files for [Open BMB's UltraLM 13B](https://huggingface.co/openbmb/UltraLM-13b).
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It is the result of merging and/or converting the source repository to float16.
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## Repositories available
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* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/UltraLM-13B-fp16)
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* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/UltraLM-13B-GGML)
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* [Merged, unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/TheBloke/UltraLM-13B-fp16)
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## Prompt template: Vicuna 1.1
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```
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USER: prompt
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ASSISTANT:
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```
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<!-- footer start -->
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<!-- 200823 -->
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## Discord
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For further support, and discussions on these models and AI in general, join us at:
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[TheBloke AI's Discord server](https://discord.gg/theblokeai)
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## Thanks, and how to contribute.
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Thanks to the [chirper.ai](https://chirper.ai) team!
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I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
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If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
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Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
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* Patreon: https://patreon.com/TheBlokeAI
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* Ko-Fi: https://ko-fi.com/TheBlokeAI
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**Special thanks to**: Aemon Algiz.
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**Patreon special mentions**: Sam, theTransient, Jonathan Leane, Steven Wood, webtim, Johann-Peter Hartmann, Geoffrey Montalvo, Gabriel Tamborski, Willem Michiel, John Villwock, Derek Yates, Mesiah Bishop, Eugene Pentland, Pieter, Chadd, Stephen Murray, Daniel P. Andersen, terasurfer, Brandon Frisco, Thomas Belote, Sid, Nathan LeClaire, Magnesian, Alps Aficionado, Stanislav Ovsiannikov, Alex, Joseph William Delisle, Nikolai Manek, Michael Davis, Junyu Yang, K, J, Spencer Kim, Stefan Sabev, Olusegun Samson, transmissions 11, Michael Levine, Cory Kujawski, Rainer Wilmers, zynix, Kalila, Luke @flexchar, Ajan Kanaga, Mandus, vamX, Ai Maven, Mano Prime, Matthew Berman, subjectnull, Vitor Caleffi, Clay Pascal, biorpg, alfie_i, 阿明, Jeffrey Morgan, ya boyyy, Raymond Fosdick, knownsqashed, Olakabola, Leonard Tan, ReadyPlayerEmma, Enrico Ros, Dave, Talal Aujan, Illia Dulskyi, Sean Connelly, senxiiz, Artur Olbinski, Elle, Raven Klaugh, Fen Risland, Deep Realms, Imad Khwaja, Fred von Graf, Will Dee, usrbinkat, SuperWojo, Alexandros Triantafyllidis, Swaroop Kallakuri, Dan Guido, John Detwiler, Pedro Madruga, Iucharbius, Viktor Bowallius, Asp the Wyvern, Edmond Seymore, Trenton Dambrowitz, Space Cruiser, Spiking Neurons AB, Pyrater, LangChain4j, Tony Hughes, Kacper Wikieł, Rishabh Srivastava, David Ziegler, Luke Pendergrass, Andrey, Gabriel Puliatti, Lone Striker, Sebastain Graf, Pierre Kircher, Randy H, NimbleBox.ai, Vadim, danny, Deo Leter
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Thank you to all my generous patrons and donaters!
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And thank you again to a16z for their generous grant.
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<!-- footer end -->
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# Original model card: Open BMB's UltraLM 13B
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# UltraLM-13b
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<!-- Provide a quick summary of what the model is/does. -->
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This is UltraLM-13b delta weights, a chat language model trained upon [UltraChat](https://github.com/thunlp/UltraChat)
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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The model is fine-tuned based on LLaMA-13b with a multi-turn chat-format template as below
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```
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User: instruction 1<eos_token>
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Assistant: response 1<eos_token>
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User: instruction 2<eos_token>
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Assistant: response 2<eos_token>
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...
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```
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- **License:** UltraLM is based on LLaMA and should be used under LLaMA's [model license](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md).
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- **Finetuned from model:** LLaMA-13b
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- **Finetuned on data:** [UltraChat](https://github.com/thunlp/UltraChat)
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** [UltraChat](https://github.com/thunlp/UltraChat)
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- **Paper:** [arxiv](https://arxiv.org/abs/2305.14233)
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- **Demo:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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To use this model, you need to [recover](https://github.com/thunlp/UltraChat/tree/main/UltraLM) the full model from the delta weights and perform inference following the template below:
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```
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[Optional]User: system prompt<eos_token>
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User: user input<eos_token>
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Assistant:
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```
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{
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"<pad>": 32000
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}
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config.json
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{
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"_name_or_path": "/workspace/process/ultralm-13b/source",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"intermediate_size": 13824,
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"max_position_embeddings": 2048,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.30.0.dev0",
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"use_cache": true,
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"vocab_size": 32001,
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"quantization_config": {
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"bits": 4,
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"group_size": 128,
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"damp_percent": 0.01,
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"sym": true,
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"true_sequential": true,
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"model_file_base_name": "model",
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"quant_method": "gptq"
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}
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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{
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"_from_model_config": true,
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"transformers_version": "4.30.0.dev0"
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}
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{
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"bits": 4,
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"group_size": 128,
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{
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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