Styn van de Haterd
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Browse files- README.md +65 -0
- config.json +38 -0
- mergekit_config.yml +26 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +30 -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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- allura-org/MS-Meadowlark-22B
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- Gryphe/Pantheon-RP-1.6.2-22b-Small
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- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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- rAIfle/Acolyte-22B
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- anthracite-org/magnum-v4-22b
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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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# LamentV2
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6BPW ExLLamaV2 quant of https://huggingface.co/SvdH/RPLament-22B
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Using parquet: https://huggingface.co/datasets/roleplay4fun/pippa
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) as a base.
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### Models Merged
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The following models were included in the merge:
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* [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B)
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* [Gryphe/Pantheon-RP-1.6.2-22b-Small](https://huggingface.co/Gryphe/Pantheon-RP-1.6.2-22b-Small)
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* [rAIfle/Acolyte-22B](https://huggingface.co/rAIfle/Acolyte-22B)
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* [anthracite-org/magnum-v4-22b](https://huggingface.co/anthracite-org/magnum-v4-22b)
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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: dare_ties
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base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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models:
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- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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weight: 0.30
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density: 0.78
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- model: anthracite-org/magnum-v4-22b
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parameters:
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weight: 0.25
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density: 0.66
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- model: allura-org/MS-Meadowlark-22B
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parameters:
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weight: 0.20
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density: 0.54
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- model: rAIfle/Acolyte-22B
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parameters:
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weight: 0.15
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density: 0.42
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- model: Gryphe/Pantheon-RP-1.6.2-22b-Small
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parameters:
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weight: 0.10
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density: 0.42
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```
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config.json
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{
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"_name_or_path": "ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1",
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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": 6144,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 48,
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"num_hidden_layers": 56,
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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": "4.45.2",
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"use_cache": false,
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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": "0.2.3",
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"bits": 6.0,
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"head_bits": 8,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "pippa.parquet"
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}
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}
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}
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mergekit_config.yml
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merge_method: dare_ties
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base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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models:
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- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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weight: 0.30
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density: 0.78
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- model: anthracite-org/magnum-v4-22b
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parameters:
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weight: 0.25
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density: 0.66
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- model: allura-org/MS-Meadowlark-22B
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parameters:
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weight: 0.20
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density: 0.54
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- model: rAIfle/Acolyte-22B
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parameters:
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weight: 0.15
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density: 0.42
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- model: Gryphe/Pantheon-RP-1.6.2-22b-Small
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parameters:
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weight: 0.10
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density: 0.42
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model.safetensors.index.json
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