初始化项目,由ModelHub XC社区提供模型

Model: vrutkovs/Lusterka-7B
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-25 16:09:00 +08:00
commit 6b06ab7601
16 changed files with 282456 additions and 0 deletions

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---
base_model: unsloth/mistral-7b-v0.3
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- sft
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** vrutkovs
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.3
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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{
"architectures": [
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],
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{
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}

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handler.py Normal file
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from typing import Any
import torch
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
pipeline,
)
class EndpointHandler:
def __init__(self, path: str = ""):
self.tokenizer = AutoTokenizer.from_pretrained(path)
self.model = AutoModelForCausalLM.from_pretrained(
path,
quantization_config=BitsAndBytesConfig(load_in_8bit=True),
device_map="auto",
)
self.pipe = pipeline(
"text-generation",
model=self.model,
tokenizer=self.tokenizer,
)
def __call__(self, data: dict[str, Any]) -> list[dict[str, Any]]:
inputs = data.pop("inputs", data)
parameters = data.pop("parameters", {})
gen_kwargs = {
"max_new_tokens": parameters.get("max_new_tokens", 256),
"temperature": parameters.get("temperature", 0.8),
"repetition_penalty": parameters.get("repetition_penalty", 1.3),
"no_repeat_ngram_size": parameters.get("no_repeat_ngram_size", 4),
"do_sample": parameters.get("do_sample", True),
}
outputs = self.pipe(inputs, **gen_kwargs)
return outputs

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