RichardErkhov/deepnight-research_-_saily_100b-gguf

Quantization made by Richard Erkhov.

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saily_100b - GGUF

• —Model creator: https://huggingface.co/deepnight-research/
• —Original model: https://huggingface.co/deepnight-research/saily_100b/

Original model description: --- license: mit licensename: deepnight-responsible-ai licenselink: LICENSE ---

SaiLy 100B (deepnight-research/saily_100B)

<img src="https://i.ibb.co/TvZQjZM/Leonardo-Diffusion-XL-Furious-and-strong-Elephant-and-anchor-l-1.jpg" alt="Saily: Experimental AI Models by DEEPNIGHT">

SaiLy is a series/collection of AI Models by DEEPNIGHT-RESEARCH which are highly experimental and uncensored. Please use with responsibility.

<br> waiting for evals, the model is submitted on HuggingFace OpenLLM Leaderboard, and is currently in the pending list Prompt Template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:

Description:

This is the first stable model of the series. The model is based on Llama2-chat.

Did some said CODE?

Here you go!

import transformers
model = transformers.AutoModelForCausalLM.from_pretrained(
  'deepnight-research/saily_100B'
)

To use the optimized triton implementation of FlashAttention, you can load the model on GPU ``(cuda:0)` with `attn_impl='triton'` and with `bfloat16`` precision:

import torch
import transformers

name = 'deepnight-research/saily_100B'

config = transformers.AutoConfig.from_pretrained(name)
config.attn_config['attn_impl'] = 'triton'
config.init_device = 'cuda:0' # For fast initialization directly on GPU!

model = transformers.AutoModelForCausalLM.from_pretrained(
  name,
  config=config,
  torch_dtype=torch.bfloat16, # Load model weights in bfloat16
  trust_remote_code=True
)

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Cheers✌️

• —Team DEEPNIGHT