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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ Dolphin-28-slerp.jpeg filter=lfs diff=lfs merge=lfs -text
Dolphin-28-slerp.jpeg ADDED

Git LFS Details

  • SHA256: b362b10e806da69e723a3bf47f7e6aedbffeec583a225dc38d4a009e3e73e218
  • Pointer size: 132 Bytes
  • Size of remote file: 1.01 MB
README.md ADDED
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+ ---
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+ tags:
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+ - text-generation
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+ - autotrain_compatible
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+ - endpoints_compatible
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+ - chatml
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+ - text-generation-inference
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+ - transformers
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+ - slerp
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+ - mistral
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+ - mergekit
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+ - merge
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+ base_model:
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+ - yam-peleg/Experiment26-7B
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+ - cognitivecomputations/dolphin-2.8-experiment26-7b
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+ library_name: transformers
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+ license: apache-2.0
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ thumbnail: "https://huggingface.co/pabloce/Dolphin-2.8-slerp/resolve/main/Dolphin-28-slerp.jpeg"
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+ ---
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+ # Dolphin-2.8-slerp - merge
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+
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+ ![image/png](https://huggingface.co/pabloce/Dolphin-2.8-slerp/resolve/main/Dolphin-28-slerp.jpeg)
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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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+ * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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+ * [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-experiment26-7b)
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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: yam-peleg/Experiment26-7B
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+ layer_range: [0, 32]
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+ - model: cognitivecomputations/dolphin-2.8-experiment26-7b
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: yam-peleg/Experiment26-7B
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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": "yam-peleg/Experiment26-7B",
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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": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.0.15",
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+ "bits": 2.5,
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+ "head_bits": 6,
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+ "calibration": {
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+ "rows": 100,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
mergekit_config.yml ADDED
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+ slices:
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+ - sources:
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+ - model: yam-peleg/Experiment26-7B
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+ layer_range: [0, 32]
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+ - model: cognitivecomputations/dolphin-2.8-experiment26-7b
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: yam-peleg/Experiment26-7B
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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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