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README.md ADDED
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+ ---
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+ base_model:
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+ - raidhon/coven_tiny_1.1b_32k_orpo_alpha
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+ - vihangd/DopeyTinyLlama-1.1B-v1
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+ - appvoid/palmer-003
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [appvoid/palmer-003](https://huggingface.co/appvoid/palmer-003) 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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+ * [raidhon/coven_tiny_1.1b_32k_orpo_alpha](https://huggingface.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha)
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+ * [vihangd/DopeyTinyLlama-1.1B-v1](https://huggingface.co/vihangd/DopeyTinyLlama-1.1B-v1)
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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: vihangd/DopeyTinyLlama-1.1B-v1
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+
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+ merge_method: ties
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+ base_model: appvoid/palmer-003
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+ parameters:
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+ normalize: true
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+ int8_mask: false
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+ dtype: float16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "appvoid/palmer-003",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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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": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.3",
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+ "unsloth_version": "2024.1",
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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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+ models:
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+ - model: vihangd/DopeyTinyLlama-1.1B-v1
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+
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+ merge_method: ties
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+ base_model: appvoid/palmer-003
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+ parameters:
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+ normalize: true
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+ int8_mask: false
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+ dtype: float16
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