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Dumpling-Qwen2.5-7B-1k-r64-2e-5
nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5
Dumpling-Qwen2.5-7B-1k-r64-2e-5 is a text generation model from nbeerbower. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
All-time downloads
295
Public
Parameters
7.6B
15.2 GB on disk
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Repo makeup
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.safetensors15.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Feb 2, 2025
- Updated
- Feb 15, 2025
- SHA
- e8de9ede
Try a prompt
Base models
Model card
From the Hugging Face model README
🧪 Part of an Experiment
This model is meant to investigate the effects of changing LoRA rank on the same tune. Learning Rate was also increased to 2e-5 from 8e-6
Dumpling-Qwen2.5-7B-1k-r64-2e-5
nbeerbower/EVA-abliterated-Qwen2.5-7B finetuned on:
- nbeerbower/GreatFirewall-DPO
- nbeerbower/Schule-DPO
- nbeerbower/Purpura-DPO
- nbeerbower/Arkhaios-DPO
- jondurbin/truthy-dpo-v0.1
- antiven0m/physical-reasoning-dpo
- flammenai/Date-DPO-NoAsterisks
- flammenai/Prude-Phi3-DPO
- Atsunori/HelpSteer2-DPO (1,000 samples)
- jondurbin/gutenberg-dpo-v0.1
- nbeerbower/gutenberg2-dpo
- nbeerbower/gutenberg-moderne-dpo.
Method
QLoRA ORPO tune with 2x RTX 3090 for 2 epochs.
# QLoRA config
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype=torch_dtype,
bnb_4bit_use_double_quant=True,
)
# LoRA config
peft_config = LoraConfig(
r=64,
lora_alpha=64,
lora_dropout=0.05,
bias="none",
task_type="CAUSAL_LM",
target_modules=['up_proj', 'down_proj', 'gate_proj', 'k_proj', 'q_proj', 'v_proj', 'o_proj']
)
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Feb 2, 2025
- Updated
- Feb 15, 2025