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RichardErkhov/mncai_-_mistral-7b-v5-4bits
mncai_-_mistral-7b-v5-4bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
3
16% of all-time downloads
All-time downloads
19
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7.4B
4.5 GB on disk
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.safetensors4.5 GB · 100%
How the weights are stored.
U87B · 95%
From the Hugging Face model README
Quantization made by Richard Erkhov.
mistral-7b-v5 - bnb 4bits
license: llama2 language:
We create various AI models and develop solutions that can be applied to businesses. And as for generative AI, we are developing products like Code Assistant, TOD Chatbot, LLMOps, and are in the process of developing Enterprise AGI (Artificial General Intelligence).
based mistral-7b, instruction tuned and dpo.
Here give some examples of how to use our model.
from transformers import AutoConfig, AutoModel, AutoTokenizer
import transformers
import torch
hf_model = 'mncai/mistral-7b-v5'
message = "### Instruction:\n\n두 개의 구가 각각 지름이 1, 2일때 두 구의 부피는 몇배지? 설명도 같이 해줘.\n\n### Response:\n"
sequences = pipeline(
message,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
max_length=2048,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")
If you have any questions, please raise an issue or contact us at [email protected]