Dory-Beam-4B

An MLX 4-bit conversion of NVIDIA's for Apple silicon. This is a community conversion. It is not made, reviewed, or endorsed by NVIDIA. For the model's design, training data, benchmarks, and intended use, see Dory 1.0 4B is a looped (latent-recurrent) normalized-GPT model trained by NVIDIA. Its layers form three blocks: input, recurrent, and output. The shared recurrent block runs several times per token, and the input block's output is added back at the start of each loop. More loops give more compute per token and better accuracy from the same weights. It mixes 1,024-token sliding-window attention with full attention, supports up to 256K tokens of context, and reasons in a block before it…

Model · Text generation

NVIDIA-Nemotron-3-Nano-4B-BF16

NVIDIA

Dec 2025 \- Jan 2026 September 2024 The pretraining data has a cutoff date of September 2024\. NVIDIA-Nemotron-3-Nano-4B-BF16 is a small language model (SLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the…

An OpenRLHF GRPO reinforcement-learning checkpoint for Qwen3-4B. - Saved at global step 64 of RL run seededrlbaseramp25stoppengen4kep2ncp5n3ncvs16. - This is the best checkpoint by pass@8 so far in this run. Trained and validated on the cobalt-train ≤2/64 frontier (canonical cleaneval prompts): 1833 train / 112 held-out val problems the base model solved on at most 2 of 64 samples under the iidcanonical@64 hardness scan. Val evals sample at temperature 1.0 (matching the cleaneval frontier eval). Reward signal: binary code-correctness (1.0 if the generated program passes the problem's tests, otherwise 0.0). This checkpoint is the main revision (git branch) of the repo, with the model at the…

An OpenRLHF GRPO reinforcement-learning checkpoint for Qwen3-4B. - Saved at global step 68 of RL run seededrlbaseramp25stoppengen4kep2ncp5n3nciid16. - This is the best checkpoint by pass@8 so far in this run. Trained and validated on the cobalt-train ≤2/64 frontier (canonical cleaneval prompts): 1833 train / 112 held-out val problems the base model solved on at most 2 of 64 samples under the iidcanonical@64 hardness scan. Val evals sample at temperature 1.0 (matching the cleaneval frontier eval). Reward signal: binary code-correctness (1.0 if the generated program passes the problem's tests, otherwise 0.0). This checkpoint is the main revision (git branch) of the repo, with the model at the…

An OpenRLHF GRPO reinforcement-learning checkpoint for Qwen3-4B. - Saved at global step 90 of RL run seededrlbaseramp25stoppengen4kep2ncp5n3ncgroot16. - This is the best checkpoint by pass@8 so far in this run. Trained and validated on the cobalt-train ≤2/64 frontier (canonical cleaneval prompts): 1833 train / 112 held-out val problems the base model solved on at most 2 of 64 samples under the iidcanonical@64 hardness scan. Val evals sample at temperature 1.0 (matching the cleaneval frontier eval). Reward signal: binary code-correctness (1.0 if the generated program passes the problem's tests, otherwise 0.0). This checkpoint is the main revision (git branch) of the repo, with the model at…

An OpenRLHF GRPO reinforcement-learning checkpoint for Qwen3-4B. - Saved at global step 56 of RL run seededrlbaseramp25stoppengen4kep2ncp5n3ncbase. - This is the best checkpoint by pass@8 so far in this run. Trained and validated on the cobalt-train ≤2/64 frontier (canonical cleaneval prompts): 1833 train / 112 held-out val problems the base model solved on at most 2 of 64 samples under the iidcanonical@64 hardness scan. Val evals sample at temperature 1.0 (matching the cleaneval frontier eval). Reward signal: binary code-correctness (1.0 if the generated program passes the problem's tests, otherwise 0.0). This checkpoint is the main revision (git branch) of the repo, with the model at the…