--- base_model: - SvalTek/ColdBrew-Aphid tags: - merge - mergekit - lazymergekit - SvalTek/ColdBrew-Aphid --- # ColdBrew-Calypso ColdBrew-Calypso is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [SvalTek/ColdBrew-Aphid](https://huggingface.co/SvalTek/ColdBrew-Aphid) ## 🧩 Configuration ```yaml const_tag: - &SFU 0.7071067812 # Upper scaling factor (1/sqrt(2)) - &SFL 0.85 # Lower scaling factor - &SFMLP 0.8 # MLP scaling factor attenuate-env-lower: &attenuated_env_lower parameters: scale: - filter: q_proj value: *SFL - filter: k_proj value: *SFL - filter: v_proj value: *SFL - filter: o_proj value: *SFL - filter: gate_proj value: *SFMLP - filter: up_proj value: *SFMLP - filter: down_proj value: *SFMLP attenuate-env-upper: &attenuated_env_upper parameters: scale: - filter: q_proj value: *SFU - filter: k_proj value: *SFU - filter: v_proj value: *SFU - filter: o_proj value: *SFU - filter: gate_proj value: *SFMLP - filter: up_proj value: *SFMLP - filter: down_proj value: *SFMLP slices: # Preserve input layers - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [0, 12] # Early Expansion (Duplicate Twice) - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [13, 15] - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [13, 15] <<: *attenuated_env_lower - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [13, 15] <<: *attenuated_env_lower # Late Expansion (Duplicate Twice) - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [15, 18] - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [15, 18] <<: *attenuated_env_upper - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [15, 18] <<: *attenuated_env_upper # Preserve output layers - sources: - model: SvalTek/ColdBrew-Aphid layer_range: [19, 27] merge_method: passthrough dtype: bfloat16 parameters: normalize: true int8_mask: true ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "SvalTek/ColdBrew-Calypso" messages = [{"role": "user", "content": "What is a large language model?"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ```