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Model: TheBloke/Augmental-Unholy-13B-GGUF Source: Original Platform
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1
Notice
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Notice
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Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
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550
README.md
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---
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base_model: Heralax/Augmental-Unholy-13b
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inference: false
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library_name: peft
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license: llama2
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model_creator: Evan Armstrong
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model_name: Augmental Unholy 13B
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model_type: llama
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prompt_template: '## {{{{charname}}}}:
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- You''re "{{{{charname}}}}" in this never-ending roleplay with "{{{{user}}}}".
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### Input:
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{prompt}
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### Response:
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(OOC) Understood. I will take this info into account for the roleplay. (end OOC)
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### New Roleplay:
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### Instruction:
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#### {{{{char}}}}:
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whatever the char says, this is the chat history
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#### {{{{user}}}}:
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whatever the user says, this is the chat history
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... repeated some number of times ...
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### Response 2 paragraphs, engaging, natural, authentic, descriptive, creative):
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#### {{{{char}}}}:
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'
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quantized_by: TheBloke
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---
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<!-- markdownlint-disable MD041 -->
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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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# Augmental Unholy 13B - GGUF
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- Model creator: [Evan Armstrong](https://huggingface.co/Heralax)
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- Original model: [Augmental Unholy 13B](https://huggingface.co/Heralax/Augmental-Unholy-13b)
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<!-- description start -->
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## Description
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This repo contains GGUF format model files for [Evan Armstrong's Augmental Unholy 13B](https://huggingface.co/Heralax/Augmental-Unholy-13b).
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These files were quantised using hardware kindly provided by [Massed Compute](https://massedcompute.com/).
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<!-- description end -->
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<!-- README_GGUF.md-about-gguf start -->
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### About GGUF
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GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Here is an incomplete list of clients and libraries that are known to support GGUF:
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* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
|
||||||
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* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
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||||||
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* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
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||||||
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* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
|
||||||
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* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
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* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
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||||||
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* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
|
||||||
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* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
|
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<!-- README_GGUF.md-about-gguf end -->
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<!-- repositories-available start -->
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## Repositories available
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* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Augmental-Unholy-13B-AWQ)
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GPTQ)
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* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF)
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* [Evan Armstrong's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/Heralax/Augmental-Unholy-13b)
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<!-- repositories-available end -->
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<!-- prompt-template start -->
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## Prompt template: SillyTavern
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```
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## {{{{charname}}}}:
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- You're "{{{{charname}}}}" in this never-ending roleplay with "{{{{user}}}}".
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||||||
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### Input:
|
||||||
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{prompt}
|
||||||
|
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||||||
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### Response:
|
||||||
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(OOC) Understood. I will take this info into account for the roleplay. (end OOC)
|
||||||
|
|
||||||
|
### New Roleplay:
|
||||||
|
### Instruction:
|
||||||
|
#### {{{{char}}}}:
|
||||||
|
whatever the char says, this is the chat history
|
||||||
|
#### {{{{user}}}}:
|
||||||
|
whatever the user says, this is the chat history
|
||||||
|
... repeated some number of times ...
|
||||||
|
### Response 2 paragraphs, engaging, natural, authentic, descriptive, creative):
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||||||
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#### {{{{char}}}}:
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||||||
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||||||
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```
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||||||
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||||||
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<!-- prompt-template end -->
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||||||
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<!-- compatibility_gguf start -->
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## Compatibility
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||||||
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||||||
|
These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221)
|
||||||
|
|
||||||
|
They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
|
||||||
|
|
||||||
|
## Explanation of quantisation methods
|
||||||
|
|
||||||
|
<details>
|
||||||
|
<summary>Click to see details</summary>
|
||||||
|
|
||||||
|
The new methods available are:
|
||||||
|
|
||||||
|
* GGML_TYPE_Q2_K - "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. Block scales and mins are quantized with 4 bits. This ends up effectively using 2.5625 bits per weight (bpw)
|
||||||
|
* GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
|
||||||
|
* GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
|
||||||
|
* GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
|
||||||
|
* GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw
|
||||||
|
|
||||||
|
Refer to the Provided Files table below to see what files use which methods, and how.
|
||||||
|
</details>
|
||||||
|
<!-- compatibility_gguf end -->
|
||||||
|
|
||||||
|
<!-- README_GGUF.md-provided-files start -->
|
||||||
|
## Provided files
|
||||||
|
|
||||||
|
| Name | Quant method | Bits | Size | Max RAM required | Use case |
|
||||||
|
| ---- | ---- | ---- | ---- | ---- | ----- |
|
||||||
|
| [augmental-unholy-13b.Q2_K.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q2_K.gguf) | Q2_K | 2 | 5.43 GB| 7.93 GB | smallest, significant quality loss - not recommended for most purposes |
|
||||||
|
| [augmental-unholy-13b.Q3_K_S.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q3_K_S.gguf) | Q3_K_S | 3 | 5.66 GB| 8.16 GB | very small, high quality loss |
|
||||||
|
| [augmental-unholy-13b.Q3_K_M.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q3_K_M.gguf) | Q3_K_M | 3 | 6.34 GB| 8.84 GB | very small, high quality loss |
|
||||||
|
| [augmental-unholy-13b.Q3_K_L.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q3_K_L.gguf) | Q3_K_L | 3 | 6.93 GB| 9.43 GB | small, substantial quality loss |
|
||||||
|
| [augmental-unholy-13b.Q4_0.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q4_0.gguf) | Q4_0 | 4 | 7.37 GB| 9.87 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
||||||
|
| [augmental-unholy-13b.Q4_K_S.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q4_K_S.gguf) | Q4_K_S | 4 | 7.41 GB| 9.91 GB | small, greater quality loss |
|
||||||
|
| [augmental-unholy-13b.Q4_K_M.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q4_K_M.gguf) | Q4_K_M | 4 | 7.87 GB| 10.37 GB | medium, balanced quality - recommended |
|
||||||
|
| [augmental-unholy-13b.Q5_0.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q5_0.gguf) | Q5_0 | 5 | 8.97 GB| 11.47 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
||||||
|
| [augmental-unholy-13b.Q5_K_S.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q5_K_S.gguf) | Q5_K_S | 5 | 8.97 GB| 11.47 GB | large, low quality loss - recommended |
|
||||||
|
| [augmental-unholy-13b.Q5_K_M.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q5_K_M.gguf) | Q5_K_M | 5 | 9.23 GB| 11.73 GB | large, very low quality loss - recommended |
|
||||||
|
| [augmental-unholy-13b.Q6_K.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q6_K.gguf) | Q6_K | 6 | 10.68 GB| 13.18 GB | very large, extremely low quality loss |
|
||||||
|
| [augmental-unholy-13b.Q8_0.gguf](https://huggingface.co/TheBloke/Augmental-Unholy-13B-GGUF/blob/main/augmental-unholy-13b.Q8_0.gguf) | Q8_0 | 8 | 13.83 GB| 16.33 GB | very large, extremely low quality loss - not recommended |
|
||||||
|
|
||||||
|
**Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<!-- README_GGUF.md-provided-files end -->
|
||||||
|
|
||||||
|
<!-- README_GGUF.md-how-to-download start -->
|
||||||
|
## How to download GGUF files
|
||||||
|
|
||||||
|
**Note for manual downloaders:** You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file.
|
||||||
|
|
||||||
|
The following clients/libraries will automatically download models for you, providing a list of available models to choose from:
|
||||||
|
|
||||||
|
* LM Studio
|
||||||
|
* LoLLMS Web UI
|
||||||
|
* Faraday.dev
|
||||||
|
|
||||||
|
### In `text-generation-webui`
|
||||||
|
|
||||||
|
Under Download Model, you can enter the model repo: TheBloke/Augmental-Unholy-13B-GGUF and below it, a specific filename to download, such as: augmental-unholy-13b.Q4_K_M.gguf.
|
||||||
|
|
||||||
|
Then click Download.
|
||||||
|
|
||||||
|
### On the command line, including multiple files at once
|
||||||
|
|
||||||
|
I recommend using the `huggingface-hub` Python library:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
pip3 install huggingface-hub
|
||||||
|
```
|
||||||
|
|
||||||
|
Then you can download any individual model file to the current directory, at high speed, with a command like this:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
huggingface-cli download TheBloke/Augmental-Unholy-13B-GGUF augmental-unholy-13b.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
|
||||||
|
```
|
||||||
|
|
||||||
|
<details>
|
||||||
|
<summary>More advanced huggingface-cli download usage</summary>
|
||||||
|
|
||||||
|
You can also download multiple files at once with a pattern:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
huggingface-cli download TheBloke/Augmental-Unholy-13B-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
||||||
|
```
|
||||||
|
|
||||||
|
For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
|
||||||
|
|
||||||
|
To accelerate downloads on fast connections (1Gbit/s or higher), install `hf_transfer`:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
pip3 install hf_transfer
|
||||||
|
```
|
||||||
|
|
||||||
|
And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/Augmental-Unholy-13B-GGUF augmental-unholy-13b.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
|
||||||
|
```
|
||||||
|
|
||||||
|
Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.
|
||||||
|
</details>
|
||||||
|
<!-- README_GGUF.md-how-to-download end -->
|
||||||
|
|
||||||
|
<!-- README_GGUF.md-how-to-run start -->
|
||||||
|
## Example `llama.cpp` command
|
||||||
|
|
||||||
|
Make sure you are using `llama.cpp` from commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
|
||||||
|
|
||||||
|
```shell
|
||||||
|
./main -ngl 32 -m augmental-unholy-13b.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "## {{{{charname}}}}:\n- You're "{{{{charname}}}}" in this never-ending roleplay with "{{{{user}}}}".\n### Input:\n{prompt}\n\n### Response:\n(OOC) Understood. I will take this info into account for the roleplay. (end OOC)\n\n### New Roleplay:\n### Instruction:\n#### {{{{char}}}}:\nwhatever the char says, this is the chat history\n#### {{{{user}}}}:\nwhatever the user says, this is the chat history\n... repeated some number of times ...\n### Response 2 paragraphs, engaging, natural, authentic, descriptive, creative):\n#### {{{{char}}}}:"
|
||||||
|
```
|
||||||
|
|
||||||
|
Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
|
||||||
|
|
||||||
|
Change `-c 4096` to the desired sequence length. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.
|
||||||
|
|
||||||
|
If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
|
||||||
|
|
||||||
|
For other parameters and how to use them, please refer to [the llama.cpp documentation](https://github.com/ggerganov/llama.cpp/blob/master/examples/main/README.md)
|
||||||
|
|
||||||
|
## How to run in `text-generation-webui`
|
||||||
|
|
||||||
|
Further instructions can be found in the text-generation-webui documentation, here: [text-generation-webui/docs/04 ‐ Model Tab.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/04%20%E2%80%90%20Model%20Tab.md#llamacpp).
|
||||||
|
|
||||||
|
## How to run from Python code
|
||||||
|
|
||||||
|
You can use GGUF models from Python using the [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) or [ctransformers](https://github.com/marella/ctransformers) libraries.
|
||||||
|
|
||||||
|
### How to load this model in Python code, using ctransformers
|
||||||
|
|
||||||
|
#### First install the package
|
||||||
|
|
||||||
|
Run one of the following commands, according to your system:
|
||||||
|
|
||||||
|
```shell
|
||||||
|
# Base ctransformers with no GPU acceleration
|
||||||
|
pip install ctransformers
|
||||||
|
# Or with CUDA GPU acceleration
|
||||||
|
pip install ctransformers[cuda]
|
||||||
|
# Or with AMD ROCm GPU acceleration (Linux only)
|
||||||
|
CT_HIPBLAS=1 pip install ctransformers --no-binary ctransformers
|
||||||
|
# Or with Metal GPU acceleration for macOS systems only
|
||||||
|
CT_METAL=1 pip install ctransformers --no-binary ctransformers
|
||||||
|
```
|
||||||
|
|
||||||
|
#### Simple ctransformers example code
|
||||||
|
|
||||||
|
```python
|
||||||
|
from ctransformers import AutoModelForCausalLM
|
||||||
|
|
||||||
|
# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
|
||||||
|
llm = AutoModelForCausalLM.from_pretrained("TheBloke/Augmental-Unholy-13B-GGUF", model_file="augmental-unholy-13b.Q4_K_M.gguf", model_type="llama", gpu_layers=50)
|
||||||
|
|
||||||
|
print(llm("AI is going to"))
|
||||||
|
```
|
||||||
|
|
||||||
|
## How to use with LangChain
|
||||||
|
|
||||||
|
Here are guides on using llama-cpp-python and ctransformers with LangChain:
|
||||||
|
|
||||||
|
* [LangChain + llama-cpp-python](https://python.langchain.com/docs/integrations/llms/llamacpp)
|
||||||
|
* [LangChain + ctransformers](https://python.langchain.com/docs/integrations/providers/ctransformers)
|
||||||
|
|
||||||
|
<!-- README_GGUF.md-how-to-run end -->
|
||||||
|
|
||||||
|
<!-- footer start -->
|
||||||
|
<!-- 200823 -->
|
||||||
|
## Discord
|
||||||
|
|
||||||
|
For further support, and discussions on these models and AI in general, join us at:
|
||||||
|
|
||||||
|
[TheBloke AI's Discord server](https://discord.gg/theblokeai)
|
||||||
|
|
||||||
|
## Thanks, and how to contribute
|
||||||
|
|
||||||
|
Thanks to the [chirper.ai](https://chirper.ai) team!
|
||||||
|
|
||||||
|
Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
|
||||||
|
|
||||||
|
* Patreon: https://patreon.com/TheBlokeAI
|
||||||
|
* Ko-Fi: https://ko-fi.com/TheBlokeAI
|
||||||
|
|
||||||
|
**Special thanks to**: Aemon Algiz.
|
||||||
|
|
||||||
|
**Patreon special mentions**: Brandon Frisco, LangChain4j, Spiking Neurons AB, transmissions 11, Joseph William Delisle, Nitin Borwankar, Willem Michiel, Michael Dempsey, vamX, Jeffrey Morgan, zynix, jjj, Omer Bin Jawed, Sean Connelly, jinyuan sun, Jeromy Smith, Shadi, Pawan Osman, Chadd, Elijah Stavena, Illia Dulskyi, Sebastain Graf, Stephen Murray, terasurfer, Edmond Seymore, Celu Ramasamy, Mandus, Alex, biorpg, Ajan Kanaga, Clay Pascal, Raven Klaugh, 阿明, K, ya boyyy, usrbinkat, Alicia Loh, John Villwock, ReadyPlayerEmma, Chris Smitley, Cap'n Zoog, fincy, GodLy, S_X, sidney chen, Cory Kujawski, OG, Mano Prime, AzureBlack, Pieter, Kalila, Spencer Kim, Tom X Nguyen, Stanislav Ovsiannikov, Michael Levine, Andrey, Trailburnt, Vadim, Enrico Ros, Talal Aujan, Brandon Phillips, Jack West, Eugene Pentland, Michael Davis, Will Dee, webtim, Jonathan Leane, Alps Aficionado, Rooh Singh, Tiffany J. Kim, theTransient, Luke @flexchar, Elle, Caitlyn Gatomon, Ari Malik, subjectnull, Johann-Peter Hartmann, Trenton Dambrowitz, Imad Khwaja, Asp the Wyvern, Emad Mostaque, Rainer Wilmers, Alexandros Triantafyllidis, Nicholas, Pedro Madruga, SuperWojo, Harry Royden McLaughlin, James Bentley, Olakabola, David Ziegler, Ai Maven, Jeff Scroggin, Nikolai Manek, Deo Leter, Matthew Berman, Fen Risland, Ken Nordquist, Manuel Alberto Morcote, Luke Pendergrass, TL, Fred von Graf, Randy H, Dan Guido, NimbleBox.ai, Vitor Caleffi, Gabriel Tamborski, knownsqashed, Lone Striker, Erik Bjäreholt, John Detwiler, Leonard Tan, Iucharbius
|
||||||
|
|
||||||
|
|
||||||
|
Thank you to all my generous patrons and donaters!
|
||||||
|
|
||||||
|
And thank you again to a16z for their generous grant.
|
||||||
|
|
||||||
|
<!-- footer end -->
|
||||||
|
|
||||||
|
<!-- original-model-card start -->
|
||||||
|
# Original model card: Evan Armstrong's Augmental Unholy 13B
|
||||||
|
|
||||||
|
|
||||||
|
# Model Card for Model ID
|
||||||
|
|
||||||
|
<!-- Provide a quick summary of what the model is/does. -->
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## Model Details
|
||||||
|
|
||||||
|
### Model Description
|
||||||
|
|
||||||
|
<!-- Provide a longer summary of what this model is. -->
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
- **Developed by:** [More Information Needed]
|
||||||
|
- **Shared by [optional]:** [More Information Needed]
|
||||||
|
- **Model type:** [More Information Needed]
|
||||||
|
- **Language(s) (NLP):** [More Information Needed]
|
||||||
|
- **License:** [More Information Needed]
|
||||||
|
- **Finetuned from model [optional]:** [More Information Needed]
|
||||||
|
|
||||||
|
### Model Sources [optional]
|
||||||
|
|
||||||
|
<!-- Provide the basic links for the model. -->
|
||||||
|
|
||||||
|
- **Repository:** [More Information Needed]
|
||||||
|
- **Paper [optional]:** [More Information Needed]
|
||||||
|
- **Demo [optional]:** [More Information Needed]
|
||||||
|
|
||||||
|
## Uses
|
||||||
|
|
||||||
|
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||||
|
|
||||||
|
### Direct Use
|
||||||
|
|
||||||
|
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Downstream Use [optional]
|
||||||
|
|
||||||
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Out-of-Scope Use
|
||||||
|
|
||||||
|
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Bias, Risks, and Limitations
|
||||||
|
|
||||||
|
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Recommendations
|
||||||
|
|
||||||
|
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||||
|
|
||||||
|
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||||
|
|
||||||
|
## How to Get Started with the Model
|
||||||
|
|
||||||
|
Use the code below to get started with the model.
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Training Details
|
||||||
|
|
||||||
|
### Training Data
|
||||||
|
|
||||||
|
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Training Procedure
|
||||||
|
|
||||||
|
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||||
|
|
||||||
|
#### Preprocessing [optional]
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
|
||||||
|
#### Training Hyperparameters
|
||||||
|
|
||||||
|
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||||
|
|
||||||
|
#### Speeds, Sizes, Times [optional]
|
||||||
|
|
||||||
|
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Evaluation
|
||||||
|
|
||||||
|
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||||
|
|
||||||
|
### Testing Data, Factors & Metrics
|
||||||
|
|
||||||
|
#### Testing Data
|
||||||
|
|
||||||
|
<!-- This should link to a Data Card if possible. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
#### Factors
|
||||||
|
|
||||||
|
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
#### Metrics
|
||||||
|
|
||||||
|
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Results
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
#### Summary
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## Model Examination [optional]
|
||||||
|
|
||||||
|
<!-- Relevant interpretability work for the model goes here -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Environmental Impact
|
||||||
|
|
||||||
|
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||||
|
|
||||||
|
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||||
|
|
||||||
|
- **Hardware Type:** [More Information Needed]
|
||||||
|
- **Hours used:** [More Information Needed]
|
||||||
|
- **Cloud Provider:** [More Information Needed]
|
||||||
|
- **Compute Region:** [More Information Needed]
|
||||||
|
- **Carbon Emitted:** [More Information Needed]
|
||||||
|
|
||||||
|
## Technical Specifications [optional]
|
||||||
|
|
||||||
|
### Model Architecture and Objective
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
### Compute Infrastructure
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
#### Hardware
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
#### Software
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Citation [optional]
|
||||||
|
|
||||||
|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||||
|
|
||||||
|
**BibTeX:**
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
**APA:**
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Glossary [optional]
|
||||||
|
|
||||||
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## More Information [optional]
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Model Card Authors [optional]
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Model Card Contact
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
|
||||||
|
## Training procedure
|
||||||
|
|
||||||
|
|
||||||
|
The following `bitsandbytes` quantization config was used during training:
|
||||||
|
- quant_method: QuantizationMethod.BITS_AND_BYTES
|
||||||
|
- load_in_8bit: False
|
||||||
|
- load_in_4bit: True
|
||||||
|
- llm_int8_threshold: 6.0
|
||||||
|
- llm_int8_skip_modules: None
|
||||||
|
- llm_int8_enable_fp32_cpu_offload: False
|
||||||
|
- llm_int8_has_fp16_weight: False
|
||||||
|
- bnb_4bit_quant_type: fp4
|
||||||
|
- bnb_4bit_use_double_quant: True
|
||||||
|
- bnb_4bit_compute_dtype: float16
|
||||||
|
|
||||||
|
### Framework versions
|
||||||
|
|
||||||
|
|
||||||
|
- PEFT 0.6.0
|
||||||
|
|
||||||
|
<!-- original-model-card end -->
|
||||||
50
USE_POLICY.md
Normal file
50
USE_POLICY.md
Normal file
@@ -0,0 +1,50 @@
|
|||||||
|
# Llama 2 Acceptable Use Policy
|
||||||
|
|
||||||
|
Meta is committed to promoting safe and fair use of its tools and features, including Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).
|
||||||
|
|
||||||
|
## Prohibited Uses
|
||||||
|
We want everyone to use Llama 2 safely and responsibly. You agree you will not use, or allow others to use, Llama 2 to:
|
||||||
|
|
||||||
|
1. Violate the law or others’ rights, including to:
|
||||||
|
1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
|
||||||
|
1. Violence or terrorism
|
||||||
|
2. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
|
||||||
|
3. Human trafficking, exploitation, and sexual violence
|
||||||
|
4. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
|
||||||
|
5. Sexual solicitation
|
||||||
|
6. Any other criminal activity
|
||||||
|
2. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
|
||||||
|
3. Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
|
||||||
|
4. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
|
||||||
|
5. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
|
||||||
|
6. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama 2 Materials
|
||||||
|
7. Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
2. Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Llama 2 related to the following:
|
||||||
|
1. Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
|
||||||
|
2. Guns and illegal weapons (including weapon development)
|
||||||
|
3. Illegal drugs and regulated/controlled substances
|
||||||
|
4. Operation of critical infrastructure, transportation technologies, or heavy machinery
|
||||||
|
5. Self-harm or harm to others, including suicide, cutting, and eating disorders
|
||||||
|
6. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
3. Intentionally deceive or mislead others, including use of Llama 2 related to the following:
|
||||||
|
1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
|
||||||
|
2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
|
||||||
|
3. Generating, promoting, or further distributing spam
|
||||||
|
4. Impersonating another individual without consent, authorization, or legal right
|
||||||
|
5. Representing that the use of Llama 2 or outputs are human-generated
|
||||||
|
6. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
|
||||||
|
4. Fail to appropriately disclose to end users any known dangers of your AI system
|
||||||
|
|
||||||
|
Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:
|
||||||
|
|
||||||
|
* Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)
|
||||||
|
* Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
|
||||||
|
* Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
|
||||||
|
* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)
|
||||||
|
|
||||||
3
augmental-unholy-13b.Q2_K.gguf
Normal file
3
augmental-unholy-13b.Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:8488d3bae5ac5e0b3ce26a3dda679f38f453c0f8d65d55439f09428b0650fb50
|
||||||
|
size 5429348320
|
||||||
3
augmental-unholy-13b.Q3_K_L.gguf
Normal file
3
augmental-unholy-13b.Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:5c00f3f026c3737e66f266b41184bc7a5ecffd0c973013e1e785315f0d0b53de
|
||||||
|
size 6929559520
|
||||||
3
augmental-unholy-13b.Q3_K_M.gguf
Normal file
3
augmental-unholy-13b.Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9c8d279e51b2de548b2f47845f2618445fe6f4a5f247ce32c9a5f2692fe03702
|
||||||
|
size 6337769440
|
||||||
3
augmental-unholy-13b.Q3_K_S.gguf
Normal file
3
augmental-unholy-13b.Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:486b052d7340558a9f50997349b510ecfc9380e9ad63289d26de4311af99f01e
|
||||||
|
size 5658980320
|
||||||
3
augmental-unholy-13b.Q4_0.gguf
Normal file
3
augmental-unholy-13b.Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:afbf1438d86180818fe357fc6f3811863f5a1c86293f796b954a48918a058c40
|
||||||
|
size 7365834720
|
||||||
3
augmental-unholy-13b.Q4_K_M.gguf
Normal file
3
augmental-unholy-13b.Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:918caaa4f4936afba150bc9580440fdae12a5aa776433d5e0e5fa4378cdbd20d
|
||||||
|
size 7865956320
|
||||||
3
augmental-unholy-13b.Q4_K_S.gguf
Normal file
3
augmental-unholy-13b.Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ad5c33df3fc7adc702ed77c7067fdab1db4f0242554e9c3921da405d6a94b553
|
||||||
|
size 7414331360
|
||||||
3
augmental-unholy-13b.Q5_0.gguf
Normal file
3
augmental-unholy-13b.Q5_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:728c29de7f52003bc2323eef016009197d08a0137961dff67f027d88169fd372
|
||||||
|
size 8972285920
|
||||||
3
augmental-unholy-13b.Q5_K_M.gguf
Normal file
3
augmental-unholy-13b.Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:74aec106cae490c840b969d00cc5e9327381476bb077944f9aade379a28b3cf6
|
||||||
|
size 9229924320
|
||||||
3
augmental-unholy-13b.Q5_K_S.gguf
Normal file
3
augmental-unholy-13b.Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:093fc3cd4b90bf6f368d62224851f1c330486d7f001d5a7140ac54bd90c64192
|
||||||
|
size 8972285920
|
||||||
3
augmental-unholy-13b.Q6_K.gguf
Normal file
3
augmental-unholy-13b.Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a2ffac6d80b2c4e7d63028e45ff04995b7976be8ce9ef80fd1d2d835969f3eba
|
||||||
|
size 10679140320
|
||||||
3
augmental-unholy-13b.Q8_0.gguf
Normal file
3
augmental-unholy-13b.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:d39d8678c25e5cda1bab8d61f9fa7d28c5345608a5b489d192d854957c6d1f75
|
||||||
|
size 13831319520
|
||||||
3
config.json
Normal file
3
config.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"model_type": "llama"
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "others", "allow_remote": true}
|
||||||
Reference in New Issue
Block a user