bartowski commited on
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Quant for 4.0

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README.md CHANGED
@@ -3,33 +3,22 @@ license: other
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  license_name: deepseek
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  license_link: LICENSE
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  quantized_by: bartowski
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- pipeline_tag: text-generation
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  ---
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- ## Exllama v2 Quantizations of deepseek-llm-7b-chat
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/master">turboderp's ExLlamaV2 master</a> for quantization.
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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-
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  Conversion was done using Evol-Instruct-Code-80k-v1.parquet as calibration dataset.
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- Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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-
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  Original model: https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat
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-
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- <a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/5_0">5.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/6_0">6.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/8_0">8.0 bits per weight</a>
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  ## Download instructions
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  With git:
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  ```shell
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- git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
@@ -38,13 +27,6 @@ With huggingface hub (credit to TheBloke for instructions):
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  pip3 install huggingface-hub
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  ```
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- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `deepseek-llm-7b-chat-exl2`:
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-
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- ```shell
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- mkdir deepseek-llm-7b-chat-exl2
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- huggingface-cli download bartowski/deepseek-llm-7b-chat-exl2 --local-dir deepseek-llm-7b-chat-exl2 --local-dir-use-symlinks False
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- ```
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-
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
 
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  license_name: deepseek
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  license_link: LICENSE
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of deepseek-llm-7b-chat at 4.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/master">turboderp's ExLlamaV2 master</a> for quantization.
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  Conversion was done using Evol-Instruct-Code-80k-v1.parquet as calibration dataset.
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  Original model: https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat
 
 
 
 
 
 
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  ## Download instructions
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  With git:
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  ```shell
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+ git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
 
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  pip3 install huggingface-hub
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  ```
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
config.json ADDED
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tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"
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