You can deploy this model and start earning money today!

RichardErkhov/
LeoLM_-_leo-hessianai-70b-gguf

Name: LeoLM_-_leo-hessianai-70b-gguf
Availability: InStock

endpoints_compatible

gguf

template

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

leo-hessianai-70b - GGUF

Model creator: https://huggingface.co/LeoLM/
Original model: https://huggingface.co/LeoLM/leo-hessianai-70b/

Name	Quant method	Size
leo-hessianai-70b.Q2_K.gguf	Q2_K	23.71GB
leo-hessianai-70b.IQ3_XS.gguf	IQ3_XS	26.37GB
leo-hessianai-70b.IQ3_S.gguf	IQ3_S	27.86GB
leo-hessianai-70b.Q3_K_S.gguf	Q3_K_S	27.86GB
leo-hessianai-70b.IQ3_M.gguf	IQ3_M	28.82GB
leo-hessianai-70b.Q3_K.gguf	Q3_K	30.99GB
leo-hessianai-70b.Q3_K_M.gguf	Q3_K_M	30.99GB
leo-hessianai-70b.Q3_K_L.gguf	Q3_K_L	33.67GB
leo-hessianai-70b.IQ4_XS.gguf	IQ4_XS	34.64GB
leo-hessianai-70b.Q4_0.gguf	Q4_0	36.2GB
leo-hessianai-70b.IQ4_NL.gguf	IQ4_NL	36.55GB
leo-hessianai-70b.Q4_K_S.gguf	Q4_K_S	36.55GB
leo-hessianai-70b.Q4_K.gguf	Q4_K	38.58GB
leo-hessianai-70b.Q4_K_M.gguf	Q4_K_M	38.58GB
leo-hessianai-70b.Q4_1.gguf	Q4_1	40.2GB
leo-hessianai-70b.Q5_0.gguf	Q5_0	44.2GB
leo-hessianai-70b.Q5_K_S.gguf	Q5_K_S	44.2GB
leo-hessianai-70b.Q5_K.gguf	Q5_K	45.41GB
leo-hessianai-70b.Q5_K_M.gguf	Q5_K_M	45.41GB
leo-hessianai-70b.Q5_1.gguf	Q5_1	48.2GB
leo-hessianai-70b.Q6_K.gguf	Q6_K	52.7GB
leo-hessianai-70b.Q8_0.gguf	Q8_0	68.26GB

Original model description:

datasets:

oscar-corpus/OSCAR-2301
wikipedia
bjoernp/tagesschau-2018-2023 language:
en
de library_name: transformers pipeline_tag: text-generation license: llama2

LAION LeoLM 70b: Linguistically Enhanced Open Language Model

Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2. Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly locality specific text. Thanks to a compute grant at HessianAI's new supercomputer 42, we release a series foundation models trained with 8k context length under the Llama-2 community license. Now, we're finally releasing the much anticipated leo-hessianai-70b, the largest model of this series based on Llama-2-70b. With this release, we hope to bring a new wave of opportunities to German open-source and commercial LLM research and accelerate adoption. Read our blog post or our paper (preprint coming soon) for more details!

A project by Björn Plüster and Christoph Schuhmann in collaboration with LAION and HessianAI.

Model Details

Finetuned from: meta-llama/Llama-2-70b-hf
Model type: Causal decoder-only transformer language model
Language: English and German
License: LLAMA 2 COMMUNITY LICENSE AGREEMENT
Contact: LAION Discord or Björn Plüster

Use in 🤗Transformers

First install direct dependencies:

pip install transformers torch

Then load the model in transformers. Note that this requires lots of VRAM and most-likely multiple devices. Use load_in_8bit=True or load_in_4bit=True to save some memory by using a quantized version. For more quantized versions, check out our models at TheBloke's page: (coming soon!)

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    model="LeoLM/leo-hessianai-70b",
    device_map="auto",
    torch_dtype=torch.bfloat16,
    use_flash_attention_2=False   # Set to true to use FA2. Requires `pip install flash-attn`
)

RichardErkhov/
LeoLM_-_leo-hessianai-70b-gguf

Original model description:

LAION LeoLM 70b: Linguistically Enhanced Open Language Model

Model Details

Use in 🤗Transformers

Training parameters

Benchmarks

RichardErkhov/LeoLM_-_leo-hessianai-70b-gguf

Original model description:

LAION LeoLM 70b: Linguistically Enhanced Open Language Model

Model Details

Use in 🤗Transformers

Training parameters

Benchmarks

RichardErkhov/
LeoLM_-_leo-hessianai-70b-gguf