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README.md ADDED
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+ ---
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - timpal0l/Mistral-7B-v0.1-flashback-v2
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+ - RJuro/munin-neuralbeagle-7b
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+ - AI-Sweden-Models/tyr
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+ base_model:
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+ - timpal0l/Mistral-7B-v0.1-flashback-v2
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+ - RJuro/munin-neuralbeagle-7b
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+ - AI-Sweden-Models/tyr
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+ ---
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+
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+ # SweStarling-ties
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+
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+ SweStarling-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [timpal0l/Mistral-7B-v0.1-flashback-v2](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2)
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+ * [RJuro/munin-neuralbeagle-7b](https://huggingface.co/RJuro/munin-neuralbeagle-7b)
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+ * [AI-Sweden-Models/tyr](https://huggingface.co/AI-Sweden-Models/tyr)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: timpal0l/Mistral-7B-v0.1-flashback-v2
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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: RJuro/munin-neuralbeagle-7b
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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: AI-Sweden-Models/tyr
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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: mlabonne/NeuralBeagle14-7B
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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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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "FredrikBL/SweStarling-ties"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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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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+
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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/NeuralBeagle14-7B",
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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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+ "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": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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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": "float16",
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+ "transformers_version": "4.41.0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model: timpal0l/Mistral-7B-v0.1-flashback-v2
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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: RJuro/munin-neuralbeagle-7b
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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: AI-Sweden-Models/tyr
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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: mlabonne/NeuralBeagle14-7B
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
mergekit_moe_config.yml ADDED
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+
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+ base_model: mlabonne/NeuralBeagle14-7B
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+ gate_mode: cheap_embed
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+ experts:
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+ - source_model: mlabonne/NeuralBeagle14-7B
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+ positive_prompts:
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+ - "chat"
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+ - "assistant"
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+ - "explain"
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+ - "tell me"
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+ - "english"
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+ - source_model: timpal0l/Mistral-7B-v0.1-flashback-v2
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+ positive_prompts:
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+ - "förklara"
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+ - "sammanfatta"
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+ - "svenska"
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+ - source_model: Nexusflow/Starling-LM-7B-beta
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+ positive_prompts:
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+ - "code"
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+ - "programming"
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+ - "algorithm"
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+ - source_model: AI-Sweden-Models/tyr
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+ positive_prompts:
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+ - "varför"
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+ - "förenkla"
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+ - "lagen"
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