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Yi-34B-Chat-GGUF

Text Generation
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Yi-34B-Chat-GGUF / README.md
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metadata
license: apache-2.0
widget:
  - example_title: Yi-34B-Chat
    text: hi
    output:
      text: ' Hello! How can I assist you today?'
  - example_title: Yi-34B
    text: >-
      There's a place where time stands still. A place of breath taking wonder,
      but also
    output:
      text: >2-
         an eerie sense that something is just not right…
        Between the two worlds lies The Forgotten Kingdom - home to creatures
        long since thought extinct and ancient magic so strong it defies belief!
        Only here can you find what has been lost for centuries: An Elixir Of
        Life which will restore youth and vitality if only those who seek its
        power are brave enough to face up against all manner of dangers lurking
        in this mysterious land! But beware; some say there may even exist
        powerful entities beyond our comprehension whose intentions towards
        humanity remain unclear at best ---- they might want nothing more than
        destruction itself rather then anything else from their quest after
        immortality (and maybe someone should tell them about modern medicine)?
        In any event though – one thing remains true regardless : whether or not
        success comes easy depends entirely upon how much effort we put into
        conquering whatever challenges lie ahead along with having faith deep
        down inside ourselves too ;) So let’s get started now shall We?
pipeline_tag: text-generation
tags:
  - TensorBlock
  - GGUF
base_model: 01-ai/Yi-34B-Chat
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

01-ai/Yi-34B-Chat - GGUF

This repo contains GGUF format model files for 01-ai/Yi-34B-Chat.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template 

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
Yi-34B-Chat-Q2_K.gguf Q2_K 11.944 GB smallest, significant quality loss - not recommended for most purposes
Yi-34B-Chat-Q3_K_S.gguf Q3_K_S 13.933 GB very small, high quality loss
Yi-34B-Chat-Q3_K_M.gguf Q3_K_M 15.511 GB very small, high quality loss
Yi-34B-Chat-Q3_K_L.gguf Q3_K_L 16.894 GB small, substantial quality loss
Yi-34B-Chat-Q4_0.gguf Q4_0 18.130 GB legacy; small, very high quality loss - prefer using Q3_K_M
Yi-34B-Chat-Q4_K_S.gguf Q4_K_S 18.253 GB small, greater quality loss
Yi-34B-Chat-Q4_K_M.gguf Q4_K_M 19.240 GB medium, balanced quality - recommended
Yi-34B-Chat-Q5_0.gguf Q5_0 22.080 GB legacy; medium, balanced quality - prefer using Q4_K_M
Yi-34B-Chat-Q5_K_S.gguf Q5_K_S 22.080 GB large, low quality loss - recommended
Yi-34B-Chat-Q5_K_M.gguf Q5_K_M 22.651 GB large, very low quality loss - recommended
Yi-34B-Chat-Q6_K.gguf Q6_K 26.276 GB very large, extremely low quality loss
Yi-34B-Chat-Q8_0.gguf Q8_0 34.033 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Yi-34B-Chat-GGUF --include "Yi-34B-Chat-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Yi-34B-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'