Text Generation
English
code
text-generation-inference
bartowski commited on
Commit
c2bc374
1 Parent(s): bfe5c15

Quant for 5.0

Browse files
README.md CHANGED
@@ -1,41 +1,21 @@
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  ---
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- license: mit
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- datasets:
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- - glaiveai/glaive-code-assistant-v2
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- - TokenBender/code_instructions_122k_alpaca_style
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- language:
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- - en
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- metrics:
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- - code_eval
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- pipeline_tag: text-generation
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- tags:
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- - code
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- - text-generation-inference
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  quantized_by: bartowski
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  ---
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- ## Exllama v2 Quantizations of CodeNinja-1.0-OpenChat-7B
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</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 the default 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/beowolx/CodeNinja-1.0-OpenChat-7B
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-
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- <a href="https://huggingface.co/bartowski/CodeNinja-1.0-OpenChat-7B-exl2/tree/6_0">6.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/CodeNinja-1.0-OpenChat-7B-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/CodeNinja-1.0-OpenChat-7B-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 the `main` (only useful if you only care about measurement.json) branch to a folder called `CodeNinja-1.0-OpenChat-7B-exl2`:
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-
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- ```shell
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- mkdir CodeNinja-1.0-OpenChat-7B-exl2
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- huggingface-cli download bartowski/CodeNinja-1.0-OpenChat-7B-exl2 --local-dir CodeNinja-1.0-OpenChat-7B-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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  mkdir CodeNinja-1.0-OpenChat-7B-exl2
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- huggingface-cli download bartowski/CodeNinja-1.0-OpenChat-7B-exl2 --revision 4_0 --local-dir CodeNinja-1.0-OpenChat-7B-exl2 --local-dir-use-symlinks False
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  ```
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
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  quantized_by: bartowski
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  ---
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+ # Exllama v2 Quantizations of CodeNinja-1.0-OpenChat-7B at 5.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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  Conversion was done using the default calibration dataset.
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  Original model: https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B
 
 
 
 
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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 5.0 https://huggingface.co/bartowski/CodeNinja-1.0-OpenChat-7B-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
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  mkdir CodeNinja-1.0-OpenChat-7B-exl2
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+ huggingface-cli download bartowski/CodeNinja-1.0-OpenChat-7B-exl2 --revision 5_0 --local-dir CodeNinja-1.0-OpenChat-7B-exl2 --local-dir-use-symlinks False
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  ```
added_tokens.json ADDED
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+ {
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config.json ADDED
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+ {
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+ "_name_or_path": "openchat/openchat-3.5-1210",
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
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