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README.md ADDED
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+ ---
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+ base_model:
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+ - lilmeaty/ksksksk
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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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+ # merge
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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 passthrough merge method.
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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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+ * [lilmeaty/ksksksk](https://huggingface.co/lilmeaty/ksksksk)
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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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+ slices:
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+ - sources:
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+ - layer_range: [0, 40]
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+ model: lilmeaty/ksksksk
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ quantization:
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+ method: int8
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+ value: 100
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+ quantization:
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+ method: int4
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+ value: 100
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+ - sources:
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+ - layer_range: [0, 3]
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+ model: lilmeaty/ksksksk
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ quantization:
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+ method: int8
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+ value: 100
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+ quantization:
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+ method: int4
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+ value: 100
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ convert_to:
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+ type:
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+ - gguf
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+ value: 100.0
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+ merge_method: passthrough
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "lilmeaty/ksksksk",
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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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 131072,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 43,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.46.1",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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+ slices:
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+ - sources:
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+ - layer_range: [0, 40]
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+ model: lilmeaty/ksksksk
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ quantization:
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+ method: int8
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+ value: 100
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+ quantization:
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+ method: int4
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+ value: 100
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+ - sources:
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+ - layer_range: [0, 3]
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+ model: lilmeaty/ksksksk
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ quantization:
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+ method: int8
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+ value: 100
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+ quantization:
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+ method: int4
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+ value: 100
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ density: 0.5
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+ weight: 0.1
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+ random_seed: 0
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+ temperature: 0.5
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+ top_p: 0.65
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+ inference: true
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+ max_tokens: 999999999
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+ stream: true
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+ convert_to:
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+ type:
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+ - gguf
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+ value: 100.0
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+ merge_method: passthrough
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+ {
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+ "<s>",
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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