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rachittshah
/
evalistral-GGUF

Transformers
GGUF
English
evaluations
Model card Files
xet
 Community
How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="rachittshah/evalistral-GGUF",
	filename="evalistral.Q4_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

This is a quantized version merge of evalistral pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: kaist-ai/prometheus-7b-v1.0
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
dtype: float16
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GGUF
Model size
7B params
Architecture
llama
Hardware compatibility
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Dataset used to train rachittshah/evalistral-GGUF

Paper for rachittshah/evalistral-GGUF