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Upload folder using huggingface_hub

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.gitattributes CHANGED
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ Yi-34B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ widget:
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+ - example_title: Yi-34B-Chat
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+ text: hi
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+ output:
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+ text: ' Hello! How can I assist you today?'
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+ - example_title: Yi-34B
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+ text: There's a place where time stands still. A place of breath taking wonder,
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+ but also
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+ output:
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+ text: ' an eerie sense that something is just not right…
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+
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+ Between the two worlds lies The Forgotten Kingdom - home to creatures long since
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+ thought extinct and ancient magic so strong it defies belief! Only here can
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+ you find what has been lost for centuries: An Elixir Of Life which will restore
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+ youth and vitality if only those who seek its power are brave enough to face
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+ up against all manner of dangers lurking in this mysterious land! But beware;
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+ some say there may even exist powerful entities beyond our comprehension whose
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+ intentions towards humanity remain unclear at best ---- they might want nothing
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+ more than destruction itself rather then anything else from their quest after
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+ immortality (and maybe someone should tell them about modern medicine)? In any
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+ event though – one thing remains true regardless : whether or not success comes
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+ easy depends entirely upon how much effort we put into conquering whatever challenges
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+ lie ahead along with having faith deep down inside ourselves too ;) So let’s
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+ get started now shall We?'
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+ pipeline_tag: text-generation
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+ base_model: 01-ai/Yi-34B
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+ tags:
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+ - TensorBlock
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+ - GGUF
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+ ---
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+
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" 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;">
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+ Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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+ </p>
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+ </div>
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+ </div>
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+
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+ ## 01-ai/Yi-34B - GGUF
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+
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+ This repo contains GGUF format model files for [01-ai/Yi-34B](https://huggingface.co/01-ai/Yi-34B).
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+
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+ The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
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+
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+ <div style="text-align: left; margin: 20px 0;">
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+ <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
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+ Run them on the TensorBlock client using your local machine ↗
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+ </a>
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+ </div>
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+
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+ ## Prompt template
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+
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+ ```
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+
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+ ```
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+
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+ ## Model file specification
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+
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+ | Filename | Quant type | File Size | Description |
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+ | -------- | ---------- | --------- | ----------- |
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+ | [Yi-34B-Q2_K.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q2_K.gguf) | Q2_K | 12.825 GB | smallest, significant quality loss - not recommended for most purposes |
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+ | [Yi-34B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_S.gguf) | Q3_K_S | 14.960 GB | very small, high quality loss |
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+ | [Yi-34B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_M.gguf) | Q3_K_M | 16.655 GB | very small, high quality loss |
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+ | [Yi-34B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_L.gguf) | Q3_K_L | 18.139 GB | small, substantial quality loss |
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+ | [Yi-34B-Q4_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_0.gguf) | Q4_0 | 19.467 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Yi-34B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_K_S.gguf) | Q4_K_S | 19.599 GB | small, greater quality loss |
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+ | [Yi-34B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_K_M.gguf) | Q4_K_M | 20.659 GB | medium, balanced quality - recommended |
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+ | [Yi-34B-Q5_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_0.gguf) | Q5_0 | 23.708 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Yi-34B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_K_S.gguf) | Q5_K_S | 23.708 GB | large, low quality loss - recommended |
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+ | [Yi-34B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_K_M.gguf) | Q5_K_M | 24.322 GB | large, very low quality loss - recommended |
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+ | [Yi-34B-Q6_K.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q6_K.gguf) | Q6_K | 28.214 GB | very large, extremely low quality loss |
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+ | [Yi-34B-Q8_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q8_0.gguf) | Q8_0 | 36.542 GB | very large, extremely low quality loss - not recommended |
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+
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+
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+ ## Downloading instruction
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+
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+ ### Command line
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+
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+ Firstly, install Huggingface Client
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+
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+ ```shell
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+ pip install -U "huggingface_hub[cli]"
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+ ```
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+
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+ Then, downoad the individual model file the a local directory
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+
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+ ```shell
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+ huggingface-cli download tensorblock/Yi-34B-GGUF --include "Yi-34B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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+ ```
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+
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+ If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
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+
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+ ```shell
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+ huggingface-cli download tensorblock/Yi-34B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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+ ```
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