nbeerbower / Hemlock-Apothecary-7B-GRPO-e3

huggingface.co
Total runs: 44
24-hour runs: 0
7-day runs: -9
30-day runs: 1
Model's Last Updated: July 15 2026
reinforcement-learning

Introduction of Hemlock-Apothecary-7B-GRPO-e3

Model Details of Hemlock-Apothecary-7B-GRPO-e3

Hemlock-Apothecary-7B-GRPO-e3

A best-of-N specialist variant of hemlang/Hemlock-Apothecary-7B : the epoch-3 checkpoint of an execution-reward GRPO run ( grimoire / hemlock-rl ) on hemlang/hemlock-codex3-SFT .

Know the trade-off ( hembench zero-shot, n=5):

pass@1 pass@5
Hemlock-Apothecary-7B 60.5% 68.4%
Apothecary-GRPO-e3 52.6% 71.1%

Mid-training RL dispersed the policy: lower first-try reliability, but the highest any-shot solve rate of any Hemlock model measured to date. Use the base Apothecary for single-shot generation; use this model when sampling several candidates and verifying with the interpreter — e.g. hembot --retry — where solve-rate within k samples is what matters. Notable per-level: systems/concurrency L4 pass@1 4/7 → 5/7, debugging L6 pass@5 3/5 → 4/5.

GRPO with LoRA r=16, β=0.1 KL, G=8, dynamic sampling, 267 deduplicated verified prompts, constant lr, checkpoint at epoch 3 of 4 (the epoch-4 endpoint re-concentrates and loses the pass@5 advantage). Q8_0 GGUF included.

Runs of nbeerbower Hemlock-Apothecary-7B-GRPO-e3 on huggingface.co

44
Total runs
0
24-hour runs
4
3-day runs
-9
7-day runs
1
30-day runs

More Information About Hemlock-Apothecary-7B-GRPO-e3 huggingface.co Model

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Hemlock-Apothecary-7B-GRPO-e3 install

Hemlock-Apothecary-7B-GRPO-e3 is an open source model from GitHub that offers a free installation service, and any user can find Hemlock-Apothecary-7B-GRPO-e3 on GitHub to install. At the same time, huggingface.co provides the effect of Hemlock-Apothecary-7B-GRPO-e3 install, users can directly use Hemlock-Apothecary-7B-GRPO-e3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Total runs: 87
Run Growth: 23
Growth Rate: 26.44%
Updated:February 05 2024