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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - automerger
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+ ---
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+
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+ ## 🧩 Configuration
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+ ```yaml
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+ #slices:
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+ # - sources:
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+ # - model: liminerity/M7-7b
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+ # layer_range: [0, 32]
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+ # - model: AurelPx/Percival_01-7b-slerp
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+ # layer_range: [0, 32]
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+ #merge_method: slerp
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+ #base_model: liminerity/M7-7b
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+ #parameters:
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+ # t:
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+ # - filter: self_attn
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+ # value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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+ # - filter: mlp
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+ # value: [0.6788445393101578, 0.1275485951078168, 0.8654534523027976, 0.8654534523027976, 0.9979828417645001]
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+ # - value: 0.23694210240180313
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+ #dtype: bfloat16
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+ #random_seed: 0
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+
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+ #slices:
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+ # - sources:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # layer_range: [0, 40]
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+ # - model: garage-bAInd/Platypus2-7b
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+ # layer_range: [0, 32]
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+ #merge_method: slerp
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+ #base_model: psmathur/orca_mini_v3_13b
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+ #parameters:
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+ # t:
40
+ # - filter: self_attn
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+ # value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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+ # - filter: mlp
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+ # value: [0.6788445393101578, 0.1275485951078168, 0.05835612958536929, 0.8654534523027976, 0.9979828417645001]
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+ # - value: 0.23694210240180313
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+ #dtype: float16
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+ #random_seed: 0
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+
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+ #slices:
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+ # - sources:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # parameters:
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+ # density: [1, 0.7, 0.1] # density gradient
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+ # weight: 1.0
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+ # - model: garage-bAInd/Platypus2-13B
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+ # parameters:
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+ # density: 0.5
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+ # weight: [0, 0.3, 0.7, 1] # weight gradient
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+ # - model: WizardLM/WizardMath-13B-V1.0
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+ # parameters:
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+ # density: 0.33
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+ # weight:
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+ # - filter: mlp
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+ # value: 0.5
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+ # - value: 0
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+ #merge_method: ties
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+ #base_model: TheBloke/Llama-2-13B-fp16
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+ #parameters:
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+ # normalize: true
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+ # int8_mask: true
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+ #dtype: float16
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+ #random_seed: 0
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+
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+ base_model: mlabonne/AlphaMonarch-7B
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+ experts:
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+ - source_model: mlabonne/AlphaMonarch-7B
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+ positive_prompts:
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+ - "chat"
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+ - "assistant"
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+ - "tell me"
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+ - "explain"
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+ - "I want"
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+ - source_model: mlabonne/NeuralDaredevil-8B-abliterated
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+ positive_prompts:
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+ - "reason"
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+ - "math"
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+ - "mathematics"
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+ - "solve"
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+ - "count"
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+ ```
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+ ## 💻 Usage
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+ ```python
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+ !pip install -qU transformers accelerate
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+ model = "EthanLiu1991/Merged_model_MoE"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "mlabonne/AlphaMonarch-7B",
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+ "architectures": [
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+ "MixtralForCausalLM"
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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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+ "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": 32768,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 2,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "router_jitter_noise": 0.0,
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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": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+
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+ #slices:
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+ # - sources:
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+ # - model: liminerity/M7-7b
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+ # layer_range: [0, 32]
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+ # - model: AurelPx/Percival_01-7b-slerp
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+ # layer_range: [0, 32]
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+ #merge_method: slerp
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+ #base_model: liminerity/M7-7b
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+ #parameters:
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+ # t:
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+ # - filter: self_attn
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+ # value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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+ # - filter: mlp
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+ # value: [0.6788445393101578, 0.1275485951078168, 0.8654534523027976, 0.8654534523027976, 0.9979828417645001]
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+ # - value: 0.23694210240180313
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+ #dtype: bfloat16
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+ #random_seed: 0
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+
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+ #slices:
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+ # - sources:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # layer_range: [0, 40]
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+ # - model: garage-bAInd/Platypus2-7b
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+ # layer_range: [0, 32]
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+ #merge_method: slerp
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+ #base_model: psmathur/orca_mini_v3_13b
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+ #parameters:
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+ # t:
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+ # - filter: self_attn
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+ # value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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+ # - filter: mlp
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+ # value: [0.6788445393101578, 0.1275485951078168, 0.05835612958536929, 0.8654534523027976, 0.9979828417645001]
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+ # - value: 0.23694210240180313
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+ #dtype: float16
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+ #random_seed: 0
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+
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+ #slices:
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+ # - sources:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # parameters:
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+ # density: [1, 0.7, 0.1] # density gradient
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+ # weight: 1.0
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+ # - model: garage-bAInd/Platypus2-13B
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+ # parameters:
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+ # density: 0.5
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+ # weight: [0, 0.3, 0.7, 1] # weight gradient
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+ # - model: WizardLM/WizardMath-13B-V1.0
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+ # parameters:
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+ # density: 0.33
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+ # weight:
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+ # - filter: mlp
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+ # value: 0.5
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+ # - value: 0
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+ #merge_method: ties
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+ #base_model: TheBloke/Llama-2-13B-fp16
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+ #parameters:
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+ # normalize: true
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+ # int8_mask: true
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+ #dtype: float16
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+ #random_seed: 0
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+
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+ base_model: mlabonne/AlphaMonarch-7B
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+ experts:
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+ - source_model: mlabonne/AlphaMonarch-7B
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+ positive_prompts:
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+ - "chat"
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+ - "assistant"
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+ - "tell me"
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+ - "explain"
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+ - "I want"
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+ - source_model: mlabonne/NeuralDaredevil-8B-abliterated
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+ positive_prompts:
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+ - "reason"
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+ - "math"
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+ - "mathematics"
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+ - "solve"
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+ - "count"
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+
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