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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - yamatazen/LorablatedStock-12B
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+ - yamatazen/EtherealAurora-12B-v2
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - yamatazen/LorablatedStock-12B
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+ - yamatazen/EtherealAurora-12B-v2
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+ ---
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+
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+ # AbyssSynth-12B
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+
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+ AbyssSynth-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [yamatazen/LorablatedStock-12B](https://huggingface.co/yamatazen/LorablatedStock-12B)
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+ * [yamatazen/EtherealAurora-12B-v2](https://huggingface.co/yamatazen/EtherealAurora-12B-v2)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ merge_method: ties
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+ base_model: yamatazen/LorablatedStock-12B
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+ models:
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+ - model: yamatazen/LorablatedStock-12B
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+ parameters:
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+ weight: 0.65
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+ density: 1.0
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ parameters:
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+ weight: 0.35
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+ density: 1.0
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+
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+ parameters:
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+ normalize: false
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+ int8_mask: false
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+ dtype: bfloat16
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+
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+ layer_parameters:
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+ - filter: "attn"
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+ sources:
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 0.6
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.4
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+
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+ - filter: "mlp"
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+ sources:
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 0.55
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.45
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+
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+ - filter: "embed_tokens"
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+ sources:
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 1.0
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.0
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+
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+ - filter: "layer_norm"
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+ sources:
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 0.7
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.3
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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 = "Marcjoni/AbyssSynth-12B"
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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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+ ```
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+ {
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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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+ "max_position_embeddings": 131072,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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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": "4.53.0",
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+ "use_cache": false,
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+ "vocab_size": 131072
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+ }
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+
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+ merge_method: ties
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+ base_model: yamatazen/LorablatedStock-12B
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+ models:
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+ - model: yamatazen/LorablatedStock-12B
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+ parameters:
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+ weight: 0.65
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+ density: 1.0
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ parameters:
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+ weight: 0.35
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+ density: 1.0
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+
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+ parameters:
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+ normalize: false
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+ int8_mask: false
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+ dtype: bfloat16
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+
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+ layer_parameters:
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+ - filter: "attn"
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+ sources:
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 0.6
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.4
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+
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+ - filter: "mlp"
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+ - model: yamatazen/LorablatedStock-12B
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+ weight: 0.55
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+ weight: 0.7
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+ - model: yamatazen/EtherealAurora-12B-v2
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+ weight: 0.3
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