yunconglong
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Browse files- README.md +50 -0
- config.json +32 -0
- mergekit_config.yml +20 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer_config.json +50 -0
README.md
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---
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base_model:
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- yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
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tags:
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- mergekit
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- merge
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---
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# DARE_TIES_13B
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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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## Merge Details
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### Merge Method
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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 [yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B](https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B) as a base.
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### Models Merged
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The following models were included in the merge:
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* ./13B_DPO
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* ./13B_MATH_DPO
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
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parameters:
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density: 1.0
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weight: 1.0
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- model: ./13B_MATH_DPO
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parameters:
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density: 0.5
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weight: [0.33, 0.4, 0.33]
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- model: ./13B_DPO
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parameters:
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density: [0.33, 0.45, 0.66]
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weight: 0.66
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merge_method: dare_ties
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base_model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source : union
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```
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config.json
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{
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"_name_or_path": "yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B",
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"architectures": [
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"MixtralForCausalLM"
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],
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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": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"unsloth_version": "2024.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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models:
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- model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
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parameters:
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density: 1.0
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weight: 1.0
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- model: ./13B_MATH_DPO
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parameters:
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density: 0.5
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weight: [0.33, 0.4, 0.33]
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- model: ./13B_DPO
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parameters:
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density: [0.33, 0.45, 0.66]
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weight: 0.66
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merge_method: dare_ties
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base_model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source : union
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
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