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| Name | Quant method | Size |
|---|---|---|
| Pinokio_v1.0.Q2_K.gguf | Q2_K | 2.53GB |
| Pinokio_v1.0.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| Pinokio_v1.0.IQ3_S.gguf | IQ3_S | 2.96GB |
| Pinokio_v1.0.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Pinokio_v1.0.IQ3_M.gguf | IQ3_M | 3.06GB |
| Pinokio_v1.0.Q3_K.gguf | Q3_K | 3.28GB |
| Pinokio_v1.0.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Pinokio_v1.0.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Pinokio_v1.0.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Pinokio_v1.0.Q4_0.gguf | Q4_0 | 3.83GB |
| Pinokio_v1.0.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Pinokio_v1.0.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Pinokio_v1.0.Q4_K.gguf | Q4_K | 4.07GB |
| Pinokio_v1.0.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Pinokio_v1.0.Q4_1.gguf | Q4_1 | 4.24GB |
| Pinokio_v1.0.Q5_0.gguf | Q5_0 | 4.65GB |
| Pinokio_v1.0.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Pinokio_v1.0.Q5_K.gguf | Q5_K | 4.78GB |
| Pinokio_v1.0.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Pinokio_v1.0.Q5_1.gguf | Q5_1 | 5.07GB |
| Pinokio_v1.0.Q6_K.gguf | Q6_K | 5.53GB |
| Pinokio_v1.0.Q8_0.gguf | Q8_0 | 7.17GB |
1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Eurdem/Pinokio_v1.0"
8
9#tokenizer = AutoTokenizer.from_pretrained(model)
10pipeline = transformers.pipeline(
11 "text-generation",
12 model=model,
13 model_kwargs={"torch_dtype": torch.bfloat16, "load_in_8bit": True},
14)
15
16messages = [{"role": "user", "content": """Her gün 30 km koşarsam, 270 km yolu kaç günde koşabilirim?"""}]
17prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
18outputs = pipeline(prompt, do_sample=True, temperature=0.7, top_k=500, top_p=0.7,max_new_tokens=1024)
19print(outputs[0]["generated_text"])