mgoin/deepseek-coder-1.3b-instruct-pruned50-quant-ds
By mgoin · ↓ 2 · ♥ 0 · Updated 2023-11-07
What's in this repo
This page lists the files in mgoin/deepseek-coder-1.3b-instruct-pruned50-quant-ds, including model.onnx.
- 1 ONNX models (.onnx files)
- 7 files, including 4 .json, 1 .md, 1 .onnx
- Last updated 2023-11-07
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
DeepSparse One-Shot and Export of https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct
Prompt Template:
prompt = f"### Instruction:{input}### Response:"
Usage
from deepsparse import TextGeneration
model = TextGeneration(model="hf:mgoin/deepseek-coder-1.3b-instruct-pruned50-quant-ds")
print(model("#write a quick sort algorithm in python", max_new_tokens=200).generations[0].text)
"""
def quick_sort(arr):
if len(arr) == 0:
return arr
else:
pivot = arr[0]
left = []
right = []
for i in range(1, len(arr)):
if arr[i] < pivot:
left.append(arr[i])
else:
right.append(arr[i])
return quick_sort(left) + [pivot] + quick_sort(right)
print(quick_sort([3, 9, 2, 5, 4, 7, 1]))
print(quick_sort([1, 2, 3, 4, 5, 6]))
print(quick_sort([6, 5, 4, 3, 2, 1]))
"""
Model info
text-generation
transformers
transformers
onnx
llama
text-generation
deepsparse
conversational
endpoints_compatible
region:us
↓ 2
♥ 0
Created: 2023-11-06
Updated: 2023-11-07
View on Hugging FaceFiles (7)
.gitattributes
README.md
config.json
model.onnx
ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json