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Led Proposed Qa Mistral 7b LoRA

LoRA adapter fine-tuned on F1 technical regulations QA.

Sourcehuggingface.co/Roseshmay/led-qa-mistral-7b-lora/tree/021a310a46181faf8da3e49419ac6af267e35505
KindLoRABase modelmistralai/Mistral-7B-Instruct-v0.3VersionRevision 021a310Publisher@RoseshmayCgrade

Model source

Kind
LoRA
File size
160 MB
Base model
mistralai/Mistral-7B-Instruct-v0.3
Version
vRevision 021a310
Updated
Oct 3, 2026
Publisher
@Roseshmay
Downloads
9
Parameters
7B
Tasks
Text generation
Source
Hugging Face

Source description

LED QA LoRA — Mistral-7B-Instruct

LoRA adapter fine-tuned on F1 technical regulations QA.

Base model

mistralai/Mistral-7B-Instruct-v0.3

Training

  • Dataset: filtered/full Proposed QA SFT split
  • LoRA r=16, alpha=32, target=all linear projections
  • Epochs: 3
  • Max seq len: 2048

Load

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "mistralai/Mistral-7B-Instruct-v0.3"
adapter = "REPO_ID"

tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    base,
    device_map="auto",
    torch_dtype="auto",
    trust_remote_code=True,
)
model = PeftModel.from_pretrained(model, adapter)

Sources

1 source
Hugging FacePrimaryVersion 021a310a46181faf8da3e49419ac6af267e35505
huggingface.co/Roseshmay/led-qa-mistral-7b-lora/tree/021a310a46181faf8da3e49419ac6af267e35505

Verified Oct 3

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 160 MB · SHA-256 130f56151819…3266 · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/Roseshmay/led-qa-mistral-7b-lora

--- library_name: peft base_model: mistralai/Mistral-7B-Instruct-v0.3 tags: - lora - qa - f1-regulations - led pipeline_tag: text-generation --- # LED QA LoRA — Mistral-7B-Instruct LoRA adapter fine-tuned on **F1 technical regulations QA**. ## Base model `mistralai/Mistral-7B-Instruct-v0.3` ## Training - Dataset: `filtered/full` Proposed QA SFT split - LoRA r=16, alpha=32, target=all linear projections - Epochs: 3 - Max seq len: 2048 ## Load ```python from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer base = "mistralai/Mistral-7B-Instruct-v0.3" adapter = "REPO_ID" tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained( base, device_map="auto", torch_dtype="auto", trust_remote_code=True, ) model = PeftModel.from_pretrained(model, adapter) ```

NoteOct 3huggingface.co/Roseshmay/led-qa-mistral-7b-lora

Source context: 9 downloads · 0 likes · Pipeline text-generation · Library peft · Repo Roseshmay/led-qa-mistral-7b-lora

NoteJul 11huggingface.co/Roseshmay/led-qa-mistral-7b-lora

Source context: 19 downloads · 0 likes · Pipeline text-generation · Library peft · Repo Roseshmay/led-qa-mistral-7b-lora