Vikhrmodels / Vikhr-7B-instruct_0.3

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Total runs: 25
24-hour runs: 0
7-day runs: -2
30-day runs: -2
Model's Last Updated: April 10 2024
text-generation

Introduction of Vikhr-7B-instruct_0.3

Model Details of Vikhr-7B-instruct_0.3

Veles Instruct [DONT TOUCH, Under Dev]

Просто лучшая русская инстракт модель теперь с CHATML

Метрики, DPO, коды для запуска подьедут позже, мне если честно похуй, вам думаю вообще поебать

Самый быстрый старт: https://colab.research.google.com/drive/10g5LSuzwsGVCCtiTuVM35T0LiiXwlWSQ?usp=sharing

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.3",
                                             device_map="auto",
                                             attn_implementation="flash_attention_2",
                                             torch_dtype=torch.bfloat16)

tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.3",use_fast=False)
from transformers import  AutoTokenizer, pipeline
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
prompts = [
    "В чем разница между фруктом и овощем?",
    "Годы жизни колмагорова?"]

def test_inference(prompt):
    prompt = pipe.tokenizer.apply_chat_template([{"role": "user", "content": prompt}], tokenize=False, add_generation_prompt=True)
    print(prompt)
    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95, eos_token_id=tokenizer.eos_token_id)
    return outputs[0]['generated_text'][len(prompt):].strip()


for prompt in prompts:
    print(f"    prompt:\n{prompt}")
    print(f"    response:\n{test_inference(prompt)}")
    print("-"*50)

Runs of Vikhrmodels Vikhr-7B-instruct_0.3 on huggingface.co

25
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
-2
30-day runs

More Information About Vikhr-7B-instruct_0.3 huggingface.co Model

Vikhr-7B-instruct_0.3 huggingface.co

Vikhr-7B-instruct_0.3 huggingface.co is an AI model on huggingface.co that provides Vikhr-7B-instruct_0.3's model effect (), which can be used instantly with this Vikhrmodels Vikhr-7B-instruct_0.3 model. huggingface.co supports a free trial of the Vikhr-7B-instruct_0.3 model, and also provides paid use of the Vikhr-7B-instruct_0.3. Support call Vikhr-7B-instruct_0.3 model through api, including Node.js, Python, http.

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Vikhr-7B-instruct_0.3 huggingface.co is an online trial and call api platform, which integrates Vikhr-7B-instruct_0.3's modeling effects, including api services, and provides a free online trial of Vikhr-7B-instruct_0.3, you can try Vikhr-7B-instruct_0.3 online for free by clicking the link below.

Vikhrmodels Vikhr-7B-instruct_0.3 online free url in huggingface.co:

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Vikhr-7B-instruct_0.3 install

Vikhr-7B-instruct_0.3 is an open source model from GitHub that offers a free installation service, and any user can find Vikhr-7B-instruct_0.3 on GitHub to install. At the same time, huggingface.co provides the effect of Vikhr-7B-instruct_0.3 install, users can directly use Vikhr-7B-instruct_0.3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Vikhr-7B-instruct_0.3 install url in huggingface.co:

https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.3

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Vikhrmodels
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