Edit model card

Uploaded model

  • Developed by: taoki
  • License: apache-2.0
  • Finetuned from model : tokyotech-llm/Swallow-MS-7b-v0.1

Usage

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained(
    "taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmultiwoz-dolly-amenokaku"
)
model = AutoModelForCausalLM.from_pretrained(
    "taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmultiwoz-dolly-amenokaku"
)

if torch.cuda.is_available():
    model = model.to("cuda")

prompt="[INST] ไปŠๆ—ฅใฏ4/1ใชใฎใงใ™ใŒใ€ๅ‘จใ‚Šใฎ็š†ใ•ใ‚“ใŒ็ชๆ‹ๅญใ‚‚ใชใ„ใ“ใจใ‚’่จ€ใฃใฆใ„ใฆๅ›ฐๆƒ‘ใ—ใฆใ„ใพใ™ใ€‚ไธ€ไฝ“ไฝ•ใŒ่ตทใ“ใฃใฆใ„ใ‚‹ใฎใงใ—ใ‚‡ใ†ใ‹๏ผŸ [/INST]\n"

input_ids = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
    **input_ids,
    max_new_tokens=512,
    do_sample=True,
    top_p=0.95,
    temperature=0.1,
    repetition_penalty=1.1,
)
print(tokenizer.decode(outputs[0]))

Output

<s> [INST] ไปŠๆ—ฅใฏ4/1ใชใฎใงใ™ใŒใ€ๅ‘จใ‚Šใฎ็š†ใ•ใ‚“ใŒ็ชๆ‹ๅญใ‚‚ใชใ„ใ“ใจใ‚’่จ€ใฃใฆใ„ใฆๅ›ฐๆƒ‘ใ—ใฆใ„ใพใ™ใ€‚ไธ€ไฝ“ไฝ•ใŒ่ตทใ“ใฃใฆใ„ใ‚‹ใฎใงใ—ใ‚‡ใ†ใ‹๏ผŸ [/INST]
4ๆœˆ1ๆ—ฅใฏใ‚จใ‚คใƒ—ใƒชใƒซใƒ•ใƒผใƒซใงใ€ไบบใ€…ใฏๅ†—่ซ‡ใ‚„ใ„ใŸใšใ‚‰ใ‚’่จ€ใฃใฆๆฅฝใ—ใ‚€ๆ—ฅใจใ•ใ‚Œใฆใ„ใพใ™ใ€‚ใ“ใฎ็ฟ’ๆ…ฃใฏใ€1564ๅนดใซใƒ•ใƒฉใƒณใ‚นใฎใ‚ทใƒฃใƒซใƒซ9ไธ–ใŒ4ๆœˆ1ๆ—ฅใซ็ตๅฉšใ—ใŸใ“ใจใ‹ใ‚‰ๅง‹ใพใฃใŸใจ่จ€ใ‚ใ‚Œใฆใ„ใ‚‹ใ€‚

ใ—ใ‹ใ—ใ€ใ‚ใชใŸใŒๅ›ฐๆƒ‘ใ—ใฆใ„ใ‚‹ใฎใชใ‚‰ใ€ใใ‚ŒใฏใŠใใ‚‰ใใ€ใ‚ใชใŸใŒๅ†—่ซ‡ใ‚„ใ„ใŸใšใ‚‰ใ‚’่จ€ใฃใฆใ„ใ‚‹ไบบใŸใกใŒใ€ใ‚ใชใŸใŒใใฎใ‚ˆใ†ใชใ‚‚ใฎใ ใจๆ€ใฃใฆใ„ใชใ„ใ“ใจใ‚’่จ€ใฃใฆใ„ใ‚‹ใ‹ใ‚‰ใ ใจๆ€ใ„ใพใ™ใ€‚ใ“ใ‚Œใฏใ€ๅฝผใ‚‰ใŒใ‚ใชใŸใ‚’้ฉšใ‹ใ›ใŸใ‚Šใ€็ฌ‘ใ‚ใ›ใŸใ‚Šใ™ใ‚‹ใŸใ‚ใซๅ˜˜ใ‚’ใคใ„ใฆใ„ใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚‹ใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ใ€‚

ใ‚‚ใ—่ชฐใ‹ใŒใ‚ใชใŸใ‚’ๅ›ฐๆƒ‘ใ•ใ›ใŸใ‚Šใ€ไธๅฟซใซใ•ใ›ใŸใ‚Šใ™ใ‚‹ใ‚ˆใ†ใชใ“ใจใ‚’่จ€ใฃใŸๅ ดๅˆใฏใ€ๆฐ—ใซใ›ใš็„ก่ฆ–ใ—ใฆใใ ใ•ใ„ใ€‚ใพใŸใ€่‡ชๅˆ†่‡ช่บซใ‚„ไป–ไบบใ‚’ๅ‚ทใคใ‘ใ‚‹ใ‚ˆใ†ใชๅ˜˜ใ‚’ใคใใ“ใจใฏ้ฟใ‘ใพใ—ใ‚‡ใ†ใ€‚</s>

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month
5
Safetensors
Model size
7.33B params
Tensor type
BF16
ยท
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmultiwoz-dolly-amenokaku

Finetuned
this model

Datasets used to train taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmultiwoz-dolly-amenokaku