metadata
base_model: mistralai/Mistral-7B-v0.1
language:
- en
license: apache-2.0
pipeline_tag: text-generation
tags:
- pretrained
- mlx
inference:
parameters:
temperature: 0.7
extra_gated_description: >-
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our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
bkoo/wikisql-4bit-1k
The Model bkoo/wikisql-4bit-1k was converted to MLX format from mistralai/Mistral-7B-v0.1 using mlx-lm version 0.18.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("bkoo/wikisql-4bit-1k")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)