bartowski commited on
Commit
ae279cb
1 Parent(s): 7dcf289

Quant for 6.5

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README.md CHANGED
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  ---
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- license: apache-2.0
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- tags:
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- - moe
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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 Beyonder-4x7B-v2
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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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- ## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
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-
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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/mlabonne/Beyonder-4x7B-v2
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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/Beyonder-4x7B-v2-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 `Beyonder-4x7B-v2-exl2`:
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-
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- ```shell
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- mkdir Beyonder-4x7B-v2-exl2
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- huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --local-dir Beyonder-4x7B-v2-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 Beyonder-4x7B-v2-exl2
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- huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision 4_0 --local-dir Beyonder-4x7B-v2-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 Beyonder-4x7B-v2 at 6.5 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/mlabonne/Beyonder-4x7B-v2
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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 6.5 https://huggingface.co/bartowski/Beyonder-4x7B-v2-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 Beyonder-4x7B-v2-exl2
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+ huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision 6_5 --local-dir Beyonder-4x7B-v2-exl2 --local-dir-use-symlinks False
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  ```
config.json ADDED
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+ {
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+ "_name_or_path": "mlabonne/Marcoro14-7B-slerp",
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+ "architectures": [
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+ "MixtralForCausalLM"
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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": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 4,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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