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knifeayumu
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Behemoth-v1.2-Magnum-v4-123B

Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
conversational
text-generation-inference
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  1. README.md +39 -0
  2. config.json +27 -0
  3. mergekit_config.yml +8 -0
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README.md ADDED
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+ ---
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+ base_model:
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+ - TheDrummer/Behemoth-123B-v1.2
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+ - anthracite-org/magnum-v4-123b
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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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+ # merge
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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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+ * [TheDrummer/Behemoth-123B-v1.2](https://huggingface.co/TheDrummer/Behemoth-123B-v1.2)
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+ * [anthracite-org/magnum-v4-123b](https://huggingface.co/anthracite-org/magnum-v4-123b)
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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: TheDrummer/Behemoth-123B-v1.2
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+ - model: anthracite-org/magnum-v4-123b
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+ merge_method: slerp
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+ base_model: TheDrummer/Behemoth-123B-v1.2
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+ parameters:
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+ t: [0.1, 0.2, 0.4, 0.2, 0.1]
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+ dtype: bfloat16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "TheDrummer/Behemoth-123B-v1.2",
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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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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 12288,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 28672,
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+ "max_position_embeddings": 131072,
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+ "model_type": "mistral",
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+ "num_attention_heads": 96,
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+ "num_hidden_layers": 88,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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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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+ "vocab_size": 32768
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+ }
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+ models:
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+ - model: TheDrummer/Behemoth-123B-v1.2
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+ - model: anthracite-org/magnum-v4-123b
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+ merge_method: slerp
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+ base_model: TheDrummer/Behemoth-123B-v1.2
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+ parameters:
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+ t: [0.1, 0.2, 0.4, 0.2, 0.1]
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+ dtype: bfloat16
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