Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
meta-math/MetaMath-Mistral-7B
WizardLM/WizardMath-7B-V1.1
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Ritik009999/solver7b")
model = AutoModelForCausalLM.from_pretrained("Ritik009999/solver7b")Quick Links
solver7b
solver7b is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: meta-math/MetaMath-Mistral-7B
layer_range: [0, 32]
- model: WizardLM/WizardMath-7B-V1.1
layer_range: [0, 32]
merge_method: slerp
base_model: meta-math/MetaMath-Mistral-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ritik009999/solver7b")