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RichardErkhov/
Cartinoe5930_-_TIES-Merging-gguf

Name: Cartinoe5930_-_TIES-Merging-gguf
Availability: InStock

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TIES-Merging - GGUF

Model creator: https://huggingface.co/Cartinoe5930/
Original model: https://huggingface.co/Cartinoe5930/TIES-Merging/

Name	Quant method	Size
TIES-Merging.Q2_K.gguf	Q2_K	2.53GB
TIES-Merging.IQ3_XS.gguf	IQ3_XS	2.81GB
TIES-Merging.IQ3_S.gguf	IQ3_S	2.96GB
TIES-Merging.Q3_K_S.gguf	Q3_K_S	2.95GB
TIES-Merging.IQ3_M.gguf	IQ3_M	3.06GB
TIES-Merging.Q3_K.gguf	Q3_K	3.28GB
TIES-Merging.Q3_K_M.gguf	Q3_K_M	3.28GB
TIES-Merging.Q3_K_L.gguf	Q3_K_L	3.56GB
TIES-Merging.IQ4_XS.gguf	IQ4_XS	3.67GB
TIES-Merging.Q4_0.gguf	Q4_0	1.99GB
TIES-Merging.IQ4_NL.gguf	IQ4_NL	3.87GB
TIES-Merging.Q4_K_S.gguf	Q4_K_S	3.86GB
TIES-Merging.Q4_K.gguf	Q4_K	4.07GB
TIES-Merging.Q4_K_M.gguf	Q4_K_M	4.07GB
TIES-Merging.Q4_1.gguf	Q4_1	4.24GB
TIES-Merging.Q5_0.gguf	Q5_0	4.65GB
TIES-Merging.Q5_K_S.gguf	Q5_K_S	4.65GB
TIES-Merging.Q5_K.gguf	Q5_K	4.78GB
TIES-Merging.Q5_K_M.gguf	Q5_K_M	4.78GB
TIES-Merging.Q5_1.gguf	Q5_1	5.07GB
TIES-Merging.Q6_K.gguf	Q6_K	5.53GB
TIES-Merging.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit
lazymergekit
Open-Orca/Mistral-7B-OpenOrca
openchat/openchat-3.5-0106
WizardLM/WizardMath-7B-V1.1

TIES-Merging

TIES-Merging is a merge of the following models using LazyMergekit:

🧩 Configuration

yaml

models:
  - model: mistralai/Mistral-7B-Instruct-v0.2
    # no parameters necessary for base model
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      density: 0.5
      weight: 0.5
  - model: openchat/openchat-3.5-0106
    parameters:
      density: 0.5
      weight: 0.5
  - model: WizardLM/WizardMath-7B-V1.1
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  normalize: true
dtype: float16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Cartinoe5930/TIES-Merging"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

RichardErkhov/Cartinoe5930_-_TIES-Merging-gguf

Original model description:

TIES-Merging

🧩 Configuration

💻 Usage

RichardErkhov/
Cartinoe5930_-_TIES-Merging-gguf