bartowski commited on
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Quant for 4.25

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README.md CHANGED
@@ -6,63 +6,42 @@ library_name: transformers
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  tags:
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  - mergekit
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  - merge
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- quantized_by: bartowski
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- pipeline_tag: text-generation
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- ---
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-
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- ## Exllama v2 Quantizations of Kunocchini
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-
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- Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
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-
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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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- Original model: https://huggingface.co/Test157t/Kunocchini
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-
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- | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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- | ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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- | [8_0](https://huggingface.co/Bartowski/Kunocchini-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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- | [6_5](https://huggingface.co/Bartowski/Kunocchini-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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- | [5_0](https://huggingface.co/Bartowski/Kunocchini-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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- | [4_25](https://huggingface.co/Bartowski/Kunocchini-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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- | [3_5](https://huggingface.co/Bartowski/Kunocchini-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
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-
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- ## Download instructions
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-
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- With git:
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-
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- ```shell
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- git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Kunocchini-exl2 Kunocchini-exl2-6_5
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- ```
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-
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- With huggingface hub (credit to TheBloke for instructions):
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- ```shell
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- pip3 install huggingface-hub
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- ```
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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 `Kunocchini-exl2`:
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-
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- ```shell
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- mkdir Kunocchini-exl2
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- huggingface-cli download bartowski/Kunocchini-exl2 --local-dir Kunocchini-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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-
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- Linux:
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-
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- ```shell
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- mkdir Kunocchini-exl2-6_5
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- huggingface-cli download bartowski/Kunocchini-exl2 --revision 6_5 --local-dir Kunocchini-exl2-6_5 --local-dir-use-symlinks False
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- ```
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-
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- Windows (which apparently doesn't like _ in folders sometimes?):
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-
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- ```shell
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- mkdir Kunocchini-exl2-6.5
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- huggingface-cli download bartowski/Kunocchini-exl2 --revision 6_5 --local-dir Kunocchini-exl2-6.5 --local-dir-use-symlinks False
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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-
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- Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
 
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  tags:
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  - mergekit
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  - merge
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ # mergedmodel
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
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+ * [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ layer_range: [0, 32]
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+ - model: Epiculous/Fett-uccine-7B
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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  ```
 
 
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config.json ADDED
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+ {
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+ "_name_or_path": "SanjiWatsuki/Kunoichi-DPO-v2-7B",
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+ "architectures": [
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+ "MistralForCausalLM"
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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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+ "max_position_embeddings": 8192,
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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": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ slices:
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+ - sources:
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+ - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ layer_range: [0, 32]
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+ - model: Epiculous/Fett-uccine-7B
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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