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1models:
2 - model: huihui-ai/Llama-3.2-1B-Instruct-abliterated
3 parameters:
4 weight: 1.2
5 density: 0.9
6 - model: NexesMess/Llama_3.2_1b_Abliteratest_SCE
7 parameters:
8 weight: 1.0
9 density: 0.9
10 - model: xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora
11 parameters:
12 weight: 1.0
13 density: 0.9
14 - model: diabolic6045/open-llama-3.2-1B-Instruct
15 parameters:
16 weight: 1.0
17 density: 0.9
18 - model: phamhai/Llama-3.2-1B-CyberFrog
19 parameters:
20 weight: 1.0
21 density: 0.9
22 - model: Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
23 parameters:
24 weight: 1.0
25 density: 0.9
26 - model: jtatman/llama-3.2-1b-lewd-mental-occult
27 parameters:
28 weight: 1.0
29 density: 0.9
30merge_method: sce
31base_model: bunnycore/FuseChat-3.2-1B-Creative-RP
32parameters:
33 normalize: true
34 int8_mask: true
35 rescale: true
36 filter_wise: false
37 smooth: false
38 allow_negative_weights: false
39 lambda: 1.0
40 select_topk: 0.1
41tokenizer:
42 source: union
43chat_template: auto
44dtype: bfloat16
45out_dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Divyansh008/Urvashi-1B-rp"
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=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])