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1Temperature: 0.75 to 1.25
2Min P: 0.035
3Context Length: Stable at 12k tokens, with possible support for extended contexts1<|im_start|>user
2Your question here.
3<|im_end|>
4<|im_start|>assistant1merge_method: ties
2
3base_model: yamatazen/EtherealAurora-12B-v2
4models:
5 - model: DreadPoor/Irix-12B-Model_Stock
6 parameters:
7 weight: 0.25
8 density: 1.0
9 - model: ohyeah1/Violet-Lyra-Gutenberg-v2
10 parameters:
11 weight: 0.25
12 density: 1.0
13 - model: redrix/patricide-12B-Unslop-Mell-v2
14 parameters:
15 weight: 0.25
16 density: 1.0
17 - model: yamatazen/EtherealAurora-12B-v3
18 parameters:
19 weight: 0.25
20 density: 1.0
21
22parameters:
23 normalize: false
24 int8_mask: false
25dtype: bfloat16
26
27layer_parameters:
28 - filter: "attn"
29 sources:
30 - model: Irix
31 weight: 0.5
32 - model: Patricide
33 weight: 0.3
34 - model: Aurora-v3
35 weight: 0.2
36
37 - filter: "mlp"
38 sources:
39 - model: Violet
40 weight: 0.5
41 - model: Aurora-v3
42 weight: 0.3
43 - model: Irix
44 weight: 0.2
45
46 - filter: "embed_tokens"
47 sources:
48 - model: Aurora-v2
49 weight: 1.01!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Marcjoni/AbyssSynth-12B-12B"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=1, top_k=0, top_p=1)
20print(outputs[0]["generated_text"])