Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
OpenPipe/mistral-ft-optimized-1218
mlabonne/NeuralHermes-2.5-Mistral-7B
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("ahmeda335/experiment")
model = AutoModelForCausalLM.from_pretrained("ahmeda335/experiment")Quick Links
Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: OpenPipe/mistral-ft-optimized-1218
layer_range: [0, 32]
- sources:
- model: mlabonne/NeuralHermes-2.5-Mistral-7B
layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ahmeda335/experiment")