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README.md ADDED
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+ ---
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+ base_model:
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+ - microsoft/rho-math-1b-interpreter-v0.1
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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 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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+ * [microsoft/rho-math-1b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-1b-interpreter-v0.1)
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+ * [appvoid/palmer-003](https://huggingface.co/appvoid/palmer-003)
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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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+ - model: appvoid/palmer-003
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+ layer_range: [0, 21]
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+ - model: microsoft/rho-math-1b-interpreter-v0.1
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+ layer_range: [0, 21]
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+ merge_method: slerp
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+ base_model: microsoft/rho-math-1b-interpreter-v0.1
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: float16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/rho-math-1b-interpreter-v0.1",
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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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+ "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": 21,
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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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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ slices:
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+ - sources:
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+ - model: appvoid/palmer-003
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+ layer_range: [0, 21]
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+ - model: microsoft/rho-math-1b-interpreter-v0.1
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+ layer_range: [0, 21]
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+ merge_method: slerp
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+ base_model: microsoft/rho-math-1b-interpreter-v0.1
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: float16
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+ {
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+ "add_bos_token": true,
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+ "add_eos_token": false,
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+ "add_prefix_space": true,
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "<unk>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "1": {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "2": {
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+ "content": "</s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "legacy": false,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<unk>",
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+ "padding_side": "left",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }