sophosympatheia commited on
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Upload model weights (#8)

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README.md CHANGED
@@ -1,6 +1,44 @@
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- ---
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- license: other
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- license_name: nexusflow-research-license
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- license_link: >-
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- https://huggingface.co/Nexusflow/Athene-V2-Chat/blob/main/Nexusflow_Research_License_.pdf
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: []
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # eva-athene-v0.1
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using /home/llm/mergequant/models/BASE/Qwen_Qwen2.5-72B as a base.
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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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+ * /home/llm/mergequant/models/BASE/Nexusflow_Athene-V2-Chat
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+ * /home/llm/mergequant/models/BASE/EVA-UNIT-01_EVA-Qwen2.5-72B-v0.1
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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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+ models:
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+ - model: /home/llm/mergequant/models/BASE/Nexusflow_Athene-V2-Chat
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+ parameters:
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+ weight: 1
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+ density: 1
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+ - model: /home/llm/mergequant/models/BASE/EVA-UNIT-01_EVA-Qwen2.5-72B-v0.1
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+ parameters:
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+ weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
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+ density: 0.5
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+ merge_method: ties
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+ base_model: /home/llm/mergequant/models/BASE/Qwen_Qwen2.5-72B
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "Evathene-v1.0",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151643,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 29568,
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 80,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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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": "4.46.2",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+ models:
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+ parameters:
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+ weight: 1
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+ density: 1
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+ - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
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+ parameters:
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+ weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
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+ density: 0.5
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+ merge_method: ties
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+ base_model: Qwen/Qwen2.5-72B
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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The diff for this file is too large to render. See raw diff
 
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