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Browse files- README.md +36 -0
- config.json +28 -0
- mergekit_config.yml +17 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +31 -0
README.md
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---
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license: other
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tags:
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- merge
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- mergekit
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- lazymergekit
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- deepseek-ai/deepseek-math-7b-rl
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- deepseek-ai/deepseek-math-7b-instruct
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---
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# deep-wizard-7B-slerp
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deep-wizard-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
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* [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct)
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## 🧩 Configuration
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```yaml
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models:
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- model: deepseek-ai/deepseek-math-7b-base
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# no parameters necessary for base model
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- model: deepseek-ai/deepseek-math-7b-rl
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parameters:
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density: 0.5
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weight: 0.7
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- model: deepseek-ai/deepseek-math-7b-instruct
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parameters:
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density: 0.5
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weight: 0.3
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merge_method: dare_ties
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base_model: deepseek-ai/deepseek-math-7b-base
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "deepseek-ai/deepseek-math-7b-base",
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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": 100000,
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"eos_token_id": 100001,
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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": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 30,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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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": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 102400
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}
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mergekit_config.yml
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models:
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- model: deepseek-ai/deepseek-math-7b-base
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# no parameters necessary for base model
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- model: deepseek-ai/deepseek-math-7b-rl
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parameters:
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density: 0.5
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weight: 0.7
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- model: deepseek-ai/deepseek-math-7b-instruct
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parameters:
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density: 0.5
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weight: 0.3
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merge_method: dare_ties
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base_model: deepseek-ai/deepseek-math-7b-base
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parameters:
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int8_mask: true
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dtype: bfloat16
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model-00001-of-00007.safetensors
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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