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README.md ADDED
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+ ---
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+ base_model:
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+ - codellama/CodeLlama-7b-Python-hf
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+ - codellama/CodeLlama-7b-Instruct-hf
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+ - Phind/Phind-CodeLlama-34B-v2
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+ - Phind/Phind-CodeLlama-34B-Python-v1
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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 passthrough 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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+ * [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)
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+ * [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf)
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+ * [Phind/Phind-CodeLlama-34B-v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2)
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+ * [Phind/Phind-CodeLlama-34B-Python-v1](https://huggingface.co/Phind/Phind-CodeLlama-34B-Python-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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+ slices:
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+ - sources:
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+ - layer_range: [0, 15]
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+ model: codellama/CodeLlama-7b-Instruct-hf
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+ - sources:
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+ - layer_range: [0, 15]
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+ model: Phind/Phind-CodeLlama-34B-Python-v1
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+ - sources:
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+ - layer_range: [8, 26]
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+ model: codellama/CodeLlama-7b-Python-hf
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+ - sources:
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+ - layer_range: [16, 33]
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+ model: Phind/Phind-CodeLlama-34B-v2
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+ - sources:
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+ - layer_range: [14, 32]
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+ model: codellama/CodeLlama-7b-Instruct-hf
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+ merge_method: passthrough
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+ dtype: float16
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+ ```
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+ "▁<EOT>": 32003,
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config.json ADDED
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+ {
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+ "_name_or_path": "codellama/CodeLlama-7b-Python-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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 16384,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 83,
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+ "num_key_value_heads": 32,
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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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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.44.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ slices:
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+ - layer_range: [0, 15]
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+ model: codellama/CodeLlama-7b-Instruct-hf
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+ - sources:
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+ - layer_range: [0, 15]
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+ model: Phind/Phind-CodeLlama-34B-Python-v1
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+ - sources:
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+ - layer_range: [8, 26]
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+ model: codellama/CodeLlama-7b-Python-hf
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+ - sources:
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+ - layer_range: [16, 33]
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+ model: Phind/Phind-CodeLlama-34B-v2
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+ - sources:
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+ - layer_range: [14, 32]
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+ model: codellama/CodeLlama-7b-Instruct-hf
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+ merge_method: passthrough
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+ dtype: float16
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+ "▁<EOT>"
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+ "content": "▁<EOT>",
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+ }
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+ },
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+ "▁<PRE>",
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+ "▁<MID>",
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+ "▁<SUF>",
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+ "▁<EOT>"
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+ ],
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+ "eot_token": "▁<EOT>",
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+ "fill_token": "<FILL_ME>",
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+ "middle_token": "▁<MID>",
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+ "prefix_token": "▁<PRE>",
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+ "suffix_token": "▁<SUF>",
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+ "tokenizer_class": "CodeLlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }