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  1. README.md +37 -0
  2. config.json +30 -0
  3. mergekit_config.yml +18 -0
  4. merges.txt +0 -0
  5. model-00001-of-00036.safetensors +3 -0
  6. model-00002-of-00036.safetensors +3 -0
  7. model-00003-of-00036.safetensors +3 -0
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  12. model-00008-of-00036.safetensors +3 -0
  13. model-00009-of-00036.safetensors +3 -0
  14. model-00010-of-00036.safetensors +3 -0
  15. model-00011-of-00036.safetensors +3 -0
  16. model-00012-of-00036.safetensors +3 -0
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  40. model-00036-of-00036.safetensors +3 -0
  41. model.safetensors.index.json +1 -0
  42. special_tokens_map.json +23 -0
  43. tokenizer.json +0 -0
  44. tokenizer_config.json +1675 -0
  45. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - abacusai/Smaug-72B-v0.1
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+ - abacusai/Smaug-72B-v0.1
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+ ---
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+
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+ # Smaug-slerpB-v0.1
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+
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+ Smaug-slerpB-v0.1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
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+ * [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: abacusai/Smaug-72B-v0.1
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+ layer_range: [0, 32]
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+ - model: abacusai/Smaug-72B-v0.1
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: abacusai/Smaug-72B-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: bfloat16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "abacusai/Smaug-72B-v0.1",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": true,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 151643,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 24576,
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+ "max_position_embeddings": 32768,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 64,
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+ "pad_token_id": 151643,
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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": 1000000,
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+ "seq_length": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.1",
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+ "use_cache": true,
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+ "vocab_size": 152064
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+ }
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+
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+ slices:
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+ - sources:
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+ - model: abacusai/Smaug-72B-v0.1
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+ layer_range: [0, 32]
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+ - model: abacusai/Smaug-72B-v0.1
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: abacusai/Smaug-72B-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: bfloat16
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+
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+ "clean_up_tokenization_spaces": true,
1671
+ "eos_token": "<|endoftext|>",
1672
+ "model_max_length": 4096,
1673
+ "tokenizer_class": "GPT2Tokenizer",
1674
+ "unk_token": "<|endoftext|>"
1675
+ }
vocab.json ADDED
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