Text Generation
Transformers
English
Inference Endpoints
bartowski commited on
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4ba0ac2
1 Parent(s): 0dcca9b

Quant for 4.0

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README.md CHANGED
@@ -8,31 +8,22 @@ language:
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  - en
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  library_name: transformers
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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 DPOpenHermes-11B
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</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/openaccess-ai-collective/DPOpenHermes-11B
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- <a href="https://huggingface.co/bartowski/DPOpenHermes-11B-exl2/tree/6_5">6.5 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/DPOpenHermes-11B-exl2/tree/8_0">8.0 bits per weight</a>
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-
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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/DPOpenHermes-11B-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 `DPOpenHermes-11B-exl2`:
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-
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- ```shell
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- mkdir DPOpenHermes-11B-exl2
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- huggingface-cli download bartowski/DPOpenHermes-11B-exl2 --local-dir DPOpenHermes-11B-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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  - en
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  library_name: transformers
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of DPOpenHermes-11B at 4.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</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/openaccess-ai-collective/DPOpenHermes-11B
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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/DPOpenHermes-11B-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
added_tokens.json ADDED
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+ {
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+ "<|im_end|>": 32000,
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+ "<|im_start|>": 32001
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "openaccess-ai-collective/DPOpenHermes-7B",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 32000,
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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": 48,
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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": "4.35.2",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
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