bartowski commited on
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Quant for 5.0

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README.md CHANGED
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  ---
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  license: apache-2.0
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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 OpenHermes-2.5-neural-chat-7b-v3-1-7B
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.9">turboderp's ExLlamaV2 v0.0.9</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 wikitext-103-raw-v1-test.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/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B
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-
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- <a href="https://huggingface.co/bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2/tree/6_0">6.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-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/OpenHermes-2.5-neural-chat-7b-v3-1-7B-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 `OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2`:
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-
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- ```shell
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- mkdir OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2
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- huggingface-cli download bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2 --local-dir OpenHermes-2.5-neural-chat-7b-v3-1-7B-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 OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2
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- huggingface-cli download bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2 --revision 4_0 --local-dir OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2 --local-dir-use-symlinks False
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  ```
 
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  ---
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  license: apache-2.0
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of OpenHermes-2.5-neural-chat-7b-v3-1-7B at 5.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.9">turboderp's ExLlamaV2 v0.0.9</a> for quantization.
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  Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
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  Original model: https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B
 
 
 
 
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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/OpenHermes-2.5-neural-chat-7b-v3-1-7B-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 OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2
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+ huggingface-cli download bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2 --revision 5_0 --local-dir OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2 --local-dir-use-symlinks False
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  ```
config.json ADDED
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+ {
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+ "_name_or_path": "/root/.cache/huggingface/hub/models--mistralai--Mistral-7B-v0.1/snapshots/5e9c98b96d071dce59368012254c55b0ec6f8658",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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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": "4.36.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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