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README.md ADDED
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+ ---
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+ base_model: []
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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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+ Just an experiment to try and extend the context of SUS, a 4K Yi model, and DPO Bagel, which breaks down after 4K context. Yi 4K was used as a base (even for bagel which is technically a Yi 200K model), and Yi 200K is merged in with a density of 1.
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+
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+ I wanted to include Hermes 34B, but something funky about its tokenizer breaks mergekit.
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+
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+ A component of another merge. Auto generated mergekit description below:
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+
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+ ***
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama 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/alpha/Models/Raw/SUSTech_SUS-Chat-34B
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+ * /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
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+ * /home/alpha/Models/Raw/jondurbin_bagel-34b-v0.2
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+ * /home/alpha/Models/Raw/jondurbin_bagel-dpo-34b-v0.2
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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/alpha/Models/Raw/chargoddard_Yi-34B-Llama
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+ # No parameters necessary for base model
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+ - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
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+ parameters:
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+ weight: 0.5
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+ density: 1
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+ - model: /home/alpha/Models/Raw/SUSTech_SUS-Chat-34B
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+ parameters:
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+ weight: 0.2
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+ density: 0.12
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+ - model: /home/alpha/Models/Raw/jondurbin_bagel-dpo-34b-v0.2
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+ parameters:
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+ weight: 0.2
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+ density: 0.15
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+ - model: /home/alpha/Models/Raw/jondurbin_bagel-34b-v0.2
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+ parameters:
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+ weight: 0.1
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+ density: 0.12
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+ merge_method: dare_ties
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+ tokenizer_source: union
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+ base_model: /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama
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+ parameters:
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+ int8_mask: true
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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": "/home/alpha/Models/Raw/chargoddard_Yi-34B-Llama",
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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": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 60,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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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": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 64002
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+ }
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+ models:
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+ - model: /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama
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+ # No parameters necessary for base model
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+ - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
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+ parameters:
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+ weight: 0.5
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+ density: 1
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+ - model: /home/alpha/Models/Raw/SUSTech_SUS-Chat-34B
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+ parameters:
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+ weight: 0.2
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+ density: 0.12
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+ - model: /home/alpha/Models/Raw/jondurbin_bagel-dpo-34b-v0.2
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+ parameters:
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+ weight: 0.2
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+ density: 0.15
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+ - model: /home/alpha/Models/Raw/jondurbin_bagel-34b-v0.2
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+ parameters:
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+ weight: 0.1
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+ density: 0.12
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+ merge_method: dare_ties
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+ tokenizer_source: union
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+ base_model: /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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