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Browse files- README.md +39 -0
- config.json +38 -0
- mergekit_config.yml +10 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00011.safetensors +3 -0
- output-00002-of-00011.safetensors +3 -0
- output-00003-of-00011.safetensors +3 -0
- output-00004-of-00011.safetensors +3 -0
- output-00005-of-00011.safetensors +3 -0
- output-00006-of-00011.safetensors +3 -0
- output-00007-of-00011.safetensors +3 -0
- output-00008-of-00011.safetensors +3 -0
- output-00009-of-00011.safetensors +3 -0
- output-00010-of-00011.safetensors +3 -0
- output-00011-of-00011.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model:
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- MarsupialAI/Monstral-123B-v2
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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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# merged_model
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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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* [MarsupialAI/Monstral-123B-v2](https://huggingface.co/MarsupialAI/Monstral-123B-v2)
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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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slices:
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- sources:
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- model: MarsupialAI/Monstral-123B-v2
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layer_range: [0, 61]
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- sources:
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- model: MarsupialAI/Monstral-123B-v2
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layer_range: [27, 88]
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merge_method: passthrough
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dtype: float16
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name: monstral
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```
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config.json
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{
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"_name_or_path": "MarsupialAI/Monstral-123B-v2",
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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": 12288,
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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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"model_type": "mistral",
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"num_attention_heads": 96,
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"num_hidden_layers": 122,
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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": "float16",
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"transformers_version": "4.47.1",
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"use_cache": true,
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"vocab_size": 32768,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.7",
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"bits": 4.0,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "pippa_raw_fix.parquet"
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}
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}
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: MarsupialAI/Monstral-123B-v2
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layer_range: [0, 61]
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- sources:
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- model: MarsupialAI/Monstral-123B-v2
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layer_range: [27, 88]
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merge_method: passthrough
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dtype: float16
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name: monstral
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model.safetensors.index.json
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