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- .gitattributes +1 -0
- README.md +67 -0
- config.json +36 -0
- mergekit_config.yml +33 -0
- model-00001-of-00050.safetensors +3 -0
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.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- Sao10K/L3.1-70B-Euryale-v2.2
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- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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- NeverSleep/Lumimaid-v0.2-70B
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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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# llama-3.1-70B-nemotron-lumiyale-120B
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [Sao10K/L3.1-70B-Euryale-v2.2](https://huggingface.co/Sao10K/L3.1-70B-Euryale-v2.2)
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* [nvidia/Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF)
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* [NeverSleep/Lumimaid-v0.2-70B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-70B)
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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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merge_method: linear
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parameters:
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weight: 1.0
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slices:
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- sources:
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- model: NeverSleep/Lumimaid-v0.2-70B
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layer_range: [0, 16]
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- sources:
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- model: NeverSleep/Lumimaid-v0.2-70B
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layer_range: [8, 24]
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- sources:
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- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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layer_range: [17, 32]
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- sources:
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- model: Sao10K/L3.1-70B-Euryale-v2.2
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layer_range: [25, 40]
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- sources:
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- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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layer_range: [33, 48]
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- sources:
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- model: Sao10K/L3.1-70B-Euryale-v2.2
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layer_range: [41, 56]
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- sources:
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- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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layer_range: [49, 64]
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- sources:
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- model: NeverSleep/Lumimaid-v0.2-70B
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layer_range: [57, 72]
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- sources:
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- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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layer_range: [65, 80]
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dtype: float16
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tokenizer_source: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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```
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config.json
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{
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"_name_or_path": "Sao10K/L3.1-70B-Euryale-v2.2",
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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": 128000,
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"eos_token_id": 128009,
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"head_dim": 128,
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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": 28672,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 137,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.45.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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mergekit_config.yml
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merge_method: linear
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parameters:
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weight: 1.0
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slices:
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5 |
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- sources:
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- model: NeverSleep/Lumimaid-v0.2-70B
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layer_range: [0, 16]
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8 |
+
- sources:
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- model: NeverSleep/Lumimaid-v0.2-70B
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layer_range: [8, 24]
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- sources:
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- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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layer_range: [17, 32]
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- sources:
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- model: Sao10K/L3.1-70B-Euryale-v2.2
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layer_range: [25, 40]
|
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+
- sources:
|
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+
- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
|
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layer_range: [33, 48]
|
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+
- sources:
|
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+
- model: Sao10K/L3.1-70B-Euryale-v2.2
|
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+
layer_range: [41, 56]
|
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+
- sources:
|
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+
- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
|
25 |
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layer_range: [49, 64]
|
26 |
+
- sources:
|
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+
- model: NeverSleep/Lumimaid-v0.2-70B
|
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+
layer_range: [57, 72]
|
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+
- sources:
|
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+
- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
|
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layer_range: [65, 80]
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dtype: float16
|
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+
tokenizer_source: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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