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Browse files- README.md +71 -0
- config.json +27 -0
- mergekit_config.yml +41 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model: []
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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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# Nemo-Grand-Gutenburg3
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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 passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* G:/11B/Lyra4-Gutenberg-12B
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* G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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* G:/11B/mistral-nemo-gutenberg-12B-v4
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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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# NEMO-Mistral version -> Scaled to 40 layers.
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# fix one ->
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# Fix 3 point double match @ layers 14,15 all 3 models (remove 2 layers)
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# fix 2 ?? - restored fix 1,
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# 30-31 -> all models 2nd group.
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# Fix 3??
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# 36-39 -> second last block.
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slices:
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [0, 16]
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [12, 24]
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- sources:
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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layer_range: [14, 28]
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# secondary block
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [18, 30] # remove layer 30
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [31, 32] # remove layer 30
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [24, 31] # remove layer 31
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [32, 39] # remove layer 31
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- sources:
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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layer_range: [30, 40]
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merge_method: passthrough
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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": "G:/11B/Lyra4-Gutenberg-12B",
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"architectures": [
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"MistralForCausalLM"
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 79,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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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": "4.43.3",
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"use_cache": false,
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"vocab_size": 131072
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}
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mergekit_config.yml
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# NEMO-Mistral version -> Scaled to 40 layers.
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# fix one ->
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# Fix 3 point double match @ layers 14,15 all 3 models (remove 2 layers)
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# fix 2 ?? - restored fix 1,
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# 30-31 -> all models 2nd group.
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# Fix 3??
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# 36-39 -> second last block.
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slices:
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [0, 16]
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [12, 24]
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- sources:
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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layer_range: [14, 28]
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# secondary block
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [18, 30] # remove layer 30
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- sources:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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layer_range: [31, 32] # remove layer 30
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [24, 31] # remove layer 31
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- sources:
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- model: G:/11B/Lyra4-Gutenberg-12B
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layer_range: [32, 39] # remove layer 31
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- sources:
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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layer_range: [30, 40]
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merge_method: passthrough
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dtype: bfloat16
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model.safetensors.index.json
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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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