DaveGergern/LLaMA2-13B-Psyfighter2-Erebus3-DareTies-GGUF

Description

This repo contains GGUF format model files for 13B-Psyfighter2-Erebus3-DareTies.

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.

Here is an incomplete list of clients and libraries that are known to support GGUF:

llama.cpp. The source project for GGUF. Offers a CLI and a server option.
text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

### Instruction: 
{prompt}
### Response:

These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit d0cee0d

They are also compatible with many third party UIs and libraries - please see the list at the top of this README.

Click to see details

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.

File	Quantize	Size
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-fp16.gguf	fp16	26GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q2_K.gguf	Q2_K	1.8GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q3_K_L.gguf	Q3_K_L	6.9GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q3_K_M.gguf	Q3_K_M	6.3GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q3_K_S.gguf	Q3_K_S	5.6GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q4_K_M.gguf	Q4_K_M	7.8GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q4_K_S.gguf	Q4_K_S	7.4GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q5_K_M.gguf	Q5_K_M	9.2GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q5_K_S.gguf	Q5_K_S	8.9GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q6_K.gguf	Q6_K	10GiB
LLaMA2-13B-Psyfighter2-Erebus3-DareTies-Q8_0.gguf	Q8_0	13GiB