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stamsam/Qwenjamin_Franklin_V2
Qwenjamin_Franklin_V2 is a text generation model from stamsam. 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.
Downloads · 30 days
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31% of all-time downloads
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From the Hugging Face model README

The second-generation local workshop release, built on Qwen 3.5 9B and tuned for stronger everyday reasoning, stricter JSON/tool behavior, and solid false-premise correction. V2 is trained from fresh CUDA-native adapters that do not reuse earlier MLX adapters.
Qwen/Qwen3.5-9Bv55 targeted SFTInternal workshop evals — directional, not leaderboard claims.
| Eval | Stock Qwen3.5-9B | V1 (Qwenjamin_Franklin) | V2 (this) |
|---|---|---|---|
full40 | 309/400 | 325/400 | 341/400 |
false_smoke | 102/110 | 110/110 | 97/110 |
json_hard | 15/30 | 30/30 | 30/30 |
tool_schema_canary | 50/175 | 106/175 | 169/175 |
workbench_local_agent | 63/100 | 72/100 | 70/100 |
no_tool_leakage | 99/100 | 100/100 | 99/100 |
What improved vs V1: full40 reasoning (+16 pts), tool schema discipline (+63 pts). What V1 still leads on: false-premise correction (110 vs 97), workbench (72 vs 70).
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("stamsam/Qwenjamin_Franklin_V2", torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("stamsam/Qwenjamin_Franklin_V2", trust_remote_code=True)
stamsam/Qwenjamin_Franklin_V2_4bit.