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README.md ADDED
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+ ---
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+ base_model:
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/Erotica_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/Humiliation_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/Gnosis_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/smol_PIPPA_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/Bluemoon_cleaned_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/Toxic_DPO_StableLM
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+ - jeiku/Rosa_v1_3B
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+ - jeiku/No_Robots_Alpaca_StableLM
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+ - jeiku/Rosa_v1_3B
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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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+ # output
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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 [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) 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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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/Erotica_StableLM](https://huggingface.co/jeiku/Erotica_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/Humiliation_StableLM](https://huggingface.co/jeiku/Humiliation_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/Gnosis_StableLM](https://huggingface.co/jeiku/Gnosis_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/smol_PIPPA_StableLM](https://huggingface.co/jeiku/smol_PIPPA_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/Bluemoon_cleaned_StableLM](https://huggingface.co/jeiku/Bluemoon_cleaned_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/Toxic_DPO_StableLM](https://huggingface.co/jeiku/Toxic_DPO_StableLM)
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+ * [jeiku/Rosa_v1_3B](https://huggingface.co/jeiku/Rosa_v1_3B) + [jeiku/No_Robots_Alpaca_StableLM](https://huggingface.co/jeiku/No_Robots_Alpaca_StableLM)
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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: jeiku/Rosa_v1_3B+jeiku/Bluemoon_cleaned_StableLM
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+ parameters:
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+ weight: 0.120
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Humiliation_StableLM
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+ parameters:
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+ weight: 0.1
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/No_Robots_Alpaca_StableLM
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+ parameters:
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+ weight: 0.2
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Gnosis_StableLM
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+ parameters:
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+ weight: 0.125
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Erotica_StableLM
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+ parameters:
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+ weight: 0.125
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/smol_PIPPA_StableLM
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+ parameters:
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+ weight: 0.2
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Toxic_DPO_StableLM
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+ parameters:
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+ weight: 0.175
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+ density: 0.125
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+ merge_method: dare_ties
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+ base_model: jeiku/Rosa_v1_3B
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+ parameters:
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+ dtype: bfloat16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "jeiku/Rosa_v1_3B",
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+ "architectures": [
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+ "StableLMEpochForCausalLM"
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+ ],
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+ "auto_map": {
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+ "AutoConfig": "configuration_stablelm_epoch.StableLMEpochConfig",
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+ "AutoModelForCausalLM": "Aryanne/Astridboros-3B--modeling_stablelm_epoch.StableLMEpochForCausalLM"
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+ },
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+ "bos_token_id": 0,
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+ "eos_token_id": 0,
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+ "hidden_act": "silu",
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6912,
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+ "max_position_embeddings": 4096,
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+ "model_type": "stablelm_epoch",
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+ "norm_eps": 1e-05,
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+ "num_attention_heads": 32,
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+ "num_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "rope_pct": 0.25,
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+ "rope_theta": 10000,
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+ "rotary_scaling_factor": 1.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 50304
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+ }
configuration_stablelm_epoch.py ADDED
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+ # coding=utf-8
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+ # Copyright 2023 Stability and The HuggingFace Inc. team. All rights reserved.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """ StableLM Epoch model configuration"""
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+ from transformers import PretrainedConfig
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+ from transformers.utils import logging
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+
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+
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+ logger = logging.get_logger(__name__)
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+
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+
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+ class StableLMEpochConfig(PretrainedConfig):
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+ r"""
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+ Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
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+ documentation from [`PretrainedConfig`] for more information.
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+
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+ Args:
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+ vocab_size (`int`, *optional*, defaults to 50_304):
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+ Vocabulary size of the StableLM model. Defines the number of different tokens that
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+ can be represented by the `inputs_ids` passed when calling [`StableLMEpochModel`].
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+ intermediate_size (`int`, *optional*, defaults to 6912):
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+ Dimension of the MLP representations.
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+ hidden_size (`int`, *optional*, defaults to 2560):
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+ Dimension of the decoder layers and the pooler layer.
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+ num_hidden_layers (`int`, *optional*, defaults to 32):
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+ Number of hidden layers in the Transformer decoder.
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+ num_attention_heads (`int`, *optional*, defaults to 32):
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+ Number of attention heads for each attention layer in the Transformer encoder.
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+ num_key_value_heads (`int`, *optional*):
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+ This is the number of key_value heads that should be used to implement Grouped Query Attention. If
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+ `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
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+ `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
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+ converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
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+ by meanpooling all the original heads within that group. For more details checkout [this
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+ paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
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+ `num_attention_heads`.
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+ hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
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+ The non-linear activation function (function or string).
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+ rope_pct (`float`, *optional*, defaults to 1.0):
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+ Percentage of hidden dimensions to allocate to rotary embeddings.
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+ rope_theta (`float`, *optional*, defaults to 10000.0):
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+ The base period of the RoPE embeddings.
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+ max_position_embeddings (`int`, *optional*, defaults to 2048):
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+ The maximum sequence length that this model might ever be used with.
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+ Typically set this to something large just in case (e.g., 512 or 1024 or 2048).
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+ initializer_range (`float`, *optional*, defaults to 1e-5):
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+ The standard deviation of the truncated_normal_initializer for initializing
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+ all weight matrices.
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+ norm_eps (`float`, *optional*, defaults to 1e-8):
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+ The epsilon used by the normalization layers.
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+ use_cache (`bool`, *optional*, defaults to `True`):
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+ Whether or not the model should return the last key/values attentions
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+ (not used by all models). Only relevant if `config.is_decoder=True`.
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+ tie_word_embeddings(`bool`, *optional*, defaults to `False`):
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+ Whether to tie weight embeddings
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+ """
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+ model_type = "stablelm_epoch"
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+ keys_to_ignore_at_inference = ["past_key_values"]
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+
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+ def __init__(
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+ self,
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+ vocab_size=50_304,
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+ intermediate_size=6912,
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+ hidden_size=2560,
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+ num_hidden_layers=32,
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+ num_attention_heads=32,
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+ num_key_value_heads=32,
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+ hidden_act="silu",
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+ rope_pct=0.25,
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+ rope_theta=10_000,
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+ max_position_embeddings=4096,
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+ initializer_range=0.02,
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+ norm_eps=1.0e-5,
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+ use_cache=True,
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+ bos_token_id=0,
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+ eos_token_id=2,
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+ tie_word_embeddings=False,
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+ **kwargs,
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+ ):
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+ self.vocab_size = vocab_size
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+ self.max_position_embeddings = max_position_embeddings
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+ self.intermediate_size = intermediate_size
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+ self.hidden_size = hidden_size
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+ self.num_hidden_layers = num_hidden_layers
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+ self.num_attention_heads = num_attention_heads
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+ self.num_key_value_heads = num_key_value_heads
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+ self.hidden_act = hidden_act
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+ self.rope_pct = rope_pct
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+ self.rope_theta = rope_theta
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+ self.initializer_range = initializer_range
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+ self.norm_eps = norm_eps
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+ self.use_cache = use_cache
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+ self.tie_word_embeddings = tie_word_embeddings
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+ super().__init__(
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+ bos_token_id=bos_token_id,
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+ eos_token_id=eos_token_id,
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+ tie_word_embeddings=tie_word_embeddings,
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+ **kwargs,
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+ )
mergekit_config.yml ADDED
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+ models:
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+ - model: jeiku/Rosa_v1_3B+jeiku/Bluemoon_cleaned_StableLM
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+ parameters:
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+ weight: 0.120
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Humiliation_StableLM
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+ parameters:
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+ weight: 0.1
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/No_Robots_Alpaca_StableLM
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+ parameters:
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+ weight: 0.2
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Gnosis_StableLM
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+ parameters:
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+ weight: 0.125
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Erotica_StableLM
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+ parameters:
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+ weight: 0.125
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/smol_PIPPA_StableLM
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+ parameters:
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+ weight: 0.2
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+ density: 0.125
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+ - model: jeiku/Rosa_v1_3B+jeiku/Toxic_DPO_StableLM
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+ parameters:
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+ weight: 0.175
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+ density: 0.125
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+ merge_method: dare_ties
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+ base_model: jeiku/Rosa_v1_3B
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+ parameters:
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+ dtype: bfloat16
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