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README.md ADDED
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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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+ ---
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+ # LamentV2
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+
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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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+
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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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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+
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+ ### Models Merged
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+
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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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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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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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+ ```
config.json ADDED
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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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+ }
mergekit_config.yml ADDED
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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
model.safetensors.index.json ADDED
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