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<|im_start|>system
You are a friendly assistant.<|im_end|>
<|im_start|>user
Hello, what are you?<|im_end|>
<|im_start|>assistant
I am an AI language model designed to assist users with information and answer their questions. How can I help you today?<|im_end|>1slices:
2 - sources:
3 - model: Yuma42/KangalKhan-Ruby-7B-Fixed
4 layer_range: [0, 32]
5 - model: Yuma42/KangalKhan-RawEmerald-7B
6 layer_range: [0, 32]
7merge_method: slerp
8base_model: Yuma42/KangalKhan-Ruby-7B-Fixed
9parameters:
10 t:
11 - filter: self_attn
12 value: [0.1, 0.55, 0.35, 0.75, 0.97]
13 - filter: mlp
14 value: [0.9, 0.45, 0.65, 0.25, 0.03]
15 - value: 0.5
16dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Yuma42/KangalKhan-RawRuby-7B"
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"])| Metric | Value |
|---|---|
| Avg. | 68.95 |
| AI2 Reasoning Challenge (25-Shot) | 66.89 |
| HellaSwag (10-Shot) | 85.53 |
| MMLU (5-Shot) | 63.46 |
| TruthfulQA (0-shot) | 57.09 |
| Winogrande (5-shot) | 78.69 |
| GSM8k (5-shot) | 62.02 |
| Metric | Value |
|---|---|
| Avg. | 20.38 |
| IFEval (0-Shot) | 54.77 |
| BBH (3-Shot) | 26.39 |
| MATH Lvl 5 (4-Shot) | 5.97 |
| GPQA (0-shot) | 5.03 |
| MuSR (0-shot) | 7.64 |
| MMLU-PRO (5-shot) | 22.48 |