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llama-3.3-70b-numeric-claim-verifier-lora
mishface123/llama-3.3-70b-numeric-claim-verifier-lora
llama-3.3-70b-numeric-claim-verifier-lora is a machine learning model from mishface123. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.3.
LoRA adapter trained with Adaption AutoScientist on the Numeric Claim Verifier science dataset.
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Repo size
82.8 MB
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Repo makeup
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.safetensors65.6 MB · 79%
At a glance
- Library
- peft
- License
- llama3.3
- Model type
- llama
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 61180682
Base models
Model card
From the Hugging Face model README
Llama 3.3 70B LoRA — Numeric Claim Verifier
LoRA adapter trained with Adaption AutoScientist on the Numeric Claim Verifier science dataset.
Results
| Field | Value |
|---|---|
| Base model | meta-llama/Llama-3.3-70B-Instruct-Reference |
| Best win rate | 64.51% |
| Run ID | b6bf9b12-1f71-4571-bba0-2cf5ad215b2c |
| Dataset ID | 8b2324dc-2fab-4992-9bde-8c246516d737 |
| Training type | LoRA (r=8, α=8, q_proj+v_proj) |
Task
Classify scientific/statistical numeric claims as:
correct | wrong_direction | wrong_magnitude | unverifiable
Files
PEFT adapter (adapter_model.safetensors, adapter_config.json) + tokenizer files from the AutoScientist checkpoint.
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "meta-llama/Llama-3.3-70B-Instruct"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, "REPO_ID_HERE")
- Library
- peft
- Type
- llama
- License
- llama3.3
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026