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jim-gpt-oss-120b-adapters
yourfinanceguy/jim-gpt-oss-120b-adapters
jim-gpt-oss-120b-adapters is a machine learning model from yourfinanceguy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tuned LoRA adapters for GPT-OSS 120B, trained on EVA Financial AI datasets.
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Updated Dec 2, 2025
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50.4 GB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 7d91122b
Model card
From the Hugging Face model README
JIM GPT-OSS 120B Financial Adapters
Fine-tuned LoRA adapters for GPT-OSS 120B, trained on EVA Financial AI datasets.
Model Details
- Base Model: GPT-OSS 120B (mlx-community/gpt-oss-120b-4bit)
- Training Method: SFT → RLHF → DPO pipeline
- LoRA Configuration: Rank 64, 64 layers
- Domain: Financial services, lending, SEC filings
Adapters Included
| Queue | Dataset | Stage | Size |
|---|---|---|---|
| queue1_Synthetic_Lenders_Data | Synthetic_Lenders_Data | DPO | 4.3GB |
| queue2_biz-training-data | biz-training-data | DPO | 4.3GB |
| queue10_EVA_Datasets_Export | EVA_Datasets_Export | DPO | 4.3GB |
| queue11_EVA_Training_Data | EVA_Training_Data | DPO | 4.3GB |
| queue12_EVA_Training_Data_Medium | EVA_Training_Data_Medium | DPO | 4.3GB |
| queue5_biz_datasets | biz_datasets | DPO | 4.3GB |
| queue6_Comprehensive_Loan_Packages | Comprehensive_Loan_Packages | DPO | 4.3GB |
| queue7_comprehensive_naics_20251107_131639 | comprehensive_naics_20251107_131639 | DPO | 4.3GB |
| queue8_enhanced_450gb_20251107_141953 | enhanced_450gb_20251107_141953 | DPO | 4.3GB |
| queue9_enhanced_450gb_20251107_181029 | enhanced_450gb_20251107_181029 | DPO | 4.3GB |
| queue15_15k_full_sequenced_20251018_182458 | 15k_full_sequenced_20251018_182458 | RLHF | 4.3GB |
Usage
from mlx_lm import load, generate
# Load base model with adapter
model, tokenizer = load(
"mlx-community/gpt-oss-120b-4bit",
adapter_path="Eva-Financial-Ai/jim-gpt-oss-120b-adapters/queue1_Synthetic_Lenders_Data"
)
# Generate
response = generate(model, tokenizer, prompt="Analyze this loan application...")
Training Data Sources
- OWC Drive: Synthetic lenders, SEC filings, business data
- Evadata2: Enhanced business datasets, loan packages, NAICS data
- Evadata3: Full sequenced batches (15k-123k)
License
Apache 2.0
- License
- apache-2.0
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025