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README.md ADDED
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+ ---
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+ base_model:
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+ - meta-llama/Llama-2-70b-hf
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+ - codellama/CodeLlama-70b-Python-hf
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+ - codellama/CodeLlama-70b-Instruct-hf
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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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+ # codellamaultra
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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 [meta-llama/Llama-2-70b-hf](https://huggingface.co/meta-llama/Llama-2-70b-hf) 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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+ * [codellama/CodeLlama-70b-Python-hf](https://huggingface.co/codellama/CodeLlama-70b-Python-hf)
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+ * [codellama/CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf)
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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: codellama/CodeLlama-70b-Python-hf
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: codellama/CodeLlama-70b-Instruct-hf
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+ parameters:
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+ density: 0.5
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+ weight: 1.0
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+ merge_method: dare_ties
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+ base_model: meta-llama/Llama-2-70b-hf
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+ parameters:
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+ # You can uncomment and set these parameters as needed
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+ # normalize: false
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+ # int8_mask: true
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+ dtype: float16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "meta-llama/Llama-2-70b-hf",
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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": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 28672,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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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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+ "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": "4.36.2",
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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: codellama/CodeLlama-70b-Python-hf
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: codellama/CodeLlama-70b-Instruct-hf
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+ parameters:
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+ density: 0.5
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+ weight: 1.0
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+ merge_method: dare_ties
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+ base_model: meta-llama/Llama-2-70b-hf
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+ parameters:
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+ # You can uncomment and set these parameters as needed
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+ # normalize: false
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+ # int8_mask: true
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+ dtype: float16
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