Text Generation
Transformers
Safetensors
English
testgeniy
budgie
causal-lm
small-language-model
reasoning
mathematics
logic
dialogue
synthetic-data
4k-context
conversational
custom_code
Instructions to use Asilarkness/Budgie-500m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asilarkness/Budgie-500m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Asilarkness/Budgie-500m", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Asilarkness/Budgie-500m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Asilarkness/Budgie-500m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Asilarkness/Budgie-500m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Asilarkness/Budgie-500m", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Asilarkness/Budgie-500m
- SGLang
How to use Asilarkness/Budgie-500m with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Asilarkness/Budgie-500m" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Asilarkness/Budgie-500m", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Asilarkness/Budgie-500m" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Asilarkness/Budgie-500m", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Asilarkness/Budgie-500m with Docker Model Runner:
docker model run hf.co/Asilarkness/Budgie-500m
| { | |
| "date": "2026-08-25", | |
| "type": "controlled regression samples; not a full official leaderboard run", | |
| "seed": 20260819, | |
| "decoding": { | |
| "method": "greedy", | |
| "budgets": { | |
| "gsm8k": 256, | |
| "math500": 384, | |
| "arc_challenge": 128, | |
| "folio": 160 | |
| } | |
| }, | |
| "models": { | |
| "budgie": { | |
| "repo": "Asilarkness/Budgie-500m", | |
| "checkpoint": "verified-math-a025", | |
| "source_repo": "Asilarkness/testgeniy", | |
| "source_path": "candidates/budgie-alignment-v2/verified-math-a025", | |
| "source_revision": "79aec5157c10e3f7e082823a6e9150482d740a91" | |
| }, | |
| "previous_public": { | |
| "repo": "Asilarkness/Budgie-500m", | |
| "revision": "39c877f07ddc80aa975809a4d87c848372316caf" | |
| }, | |
| "qwen3": { | |
| "repo": "Qwen/Qwen3-0.6B", | |
| "revision": "c1899de289a04d12100db370d81485cdf75e47ca", | |
| "thinking": false | |
| } | |
| }, | |
| "datasets": { | |
| "GSM8K": "openai/gsm8k main test, fixed n=30", | |
| "MATH-500": "HuggingFaceH4/MATH-500 test, fixed n=15", | |
| "ARC-Challenge": "allenai/ai2_arc ARC-Challenge test, fixed n=30", | |
| "FOLIO": "tasksource/folio validation, fixed n=30", | |
| "HelpSteer2-pairwise": "nvidia/HelpSteer2 validation, fixed n=200" | |
| }, | |
| "previous_root_results": { | |
| "GSM8K": { | |
| "correct": 4, | |
| "total": 30, | |
| "score": 13.333333333333334 | |
| }, | |
| "MATH-500": { | |
| "correct": 2, | |
| "total": 15, | |
| "score": 13.333333333333334 | |
| }, | |
| "ARC-Challenge": { | |
| "correct": 8, | |
| "total": 30, | |
| "score": 26.666666666666668 | |
| }, | |
| "FOLIO": { | |
| "correct": 11, | |
| "total": 30, | |
| "score": 36.666666666666664 | |
| }, | |
| "HelpSteer2-pairwise": { | |
| "correct": 96, | |
| "total": 200, | |
| "score": 48.0 | |
| }, | |
| "Composite": { | |
| "score": 27.6 | |
| } | |
| }, | |
| "results": { | |
| "budgie": { | |
| "GSM8K": { | |
| "correct": 5, | |
| "total": 30, | |
| "score": 16.666666666666664 | |
| }, | |
| "MATH-500": { | |
| "correct": 3, | |
| "total": 15, | |
| "score": 20.0 | |
| }, | |
| "ARC-Challenge": { | |
| "correct": 11, | |
| "total": 30, | |
| "score": 36.666666666666664 | |
| }, | |
| "FOLIO": { | |
| "correct": 13, | |
| "total": 30, | |
| "score": 43.333333333333336 | |
| }, | |
| "HelpSteer2-pairwise": { | |
| "correct": 97, | |
| "total": 200, | |
| "score": 48.5 | |
| }, | |
| "Composite": { | |
| "score": 33.03333333333333 | |
| } | |
| }, | |
| "qwen3": { | |
| "GSM8K": { | |
| "correct": 14, | |
| "total": 30, | |
| "score": 46.666666666666664 | |
| }, | |
| "MATH-500": { | |
| "correct": 2, | |
| "total": 15, | |
| "score": 13.333333333333334 | |
| }, | |
| "ARC-Challenge": { | |
| "correct": 19, | |
| "total": 30, | |
| "score": 63.333333333333336 | |
| }, | |
| "FOLIO": { | |
| "correct": 13, | |
| "total": 30, | |
| "score": 43.333333333333336 | |
| }, | |
| "HelpSteer2-pairwise": { | |
| "correct": 100, | |
| "total": 200, | |
| "score": 50.0 | |
| }, | |
| "Composite": { | |
| "score": 43.33333333333333 | |
| } | |
| } | |
| }, | |
| "expanded_disjoint_gate": { | |
| "seed": 20260908, | |
| "split": "disjoint expanded gate; excludes every row in the original controlled gate", | |
| "results": { | |
| "GSM8K": { | |
| "total": 80, | |
| "previous_correct": 9, | |
| "previous_score": 11.25, | |
| "current_correct": 24, | |
| "current_score": 30.0 | |
| }, | |
| "MATH-500": { | |
| "total": 50, | |
| "previous_correct": 10, | |
| "previous_score": 20.0, | |
| "current_correct": 10, | |
| "current_score": 20.0 | |
| }, | |
| "ARC-Challenge": { | |
| "total": 80, | |
| "previous_correct": 16, | |
| "previous_score": 20.0, | |
| "current_correct": 25, | |
| "current_score": 31.25 | |
| }, | |
| "FOLIO": { | |
| "total": 100, | |
| "previous_correct": 31, | |
| "previous_score": 31.0, | |
| "current_correct": 36, | |
| "current_score": 36.0 | |
| }, | |
| "HelpSteer2-pairwise": { | |
| "total": 373, | |
| "previous_correct": 166, | |
| "previous_score": 44.50402144772118, | |
| "current_correct": 169, | |
| "current_score": 45.30831099195711 | |
| }, | |
| "Composite": { | |
| "previous_score": 25.35080428954424, | |
| "current_score": 32.51166219839142, | |
| "delta": 7.160857908847185 | |
| } | |
| }, | |
| "paired_bootstrap": { | |
| "samples": 30000, | |
| "current_composite_95": [ | |
| 28.34289544235925, | |
| 36.82319034852547 | |
| ], | |
| "delta_95": [ | |
| 2.5861930294906132, | |
| 11.725335120643432 | |
| ], | |
| "probability_delta_positive": 99.86333333333333 | |
| } | |
| }, | |
| "training_disclosure": { | |
| "no_fixed_test_or_validation_row_used_for_training": true, | |
| "decontamination": "normalized exact matching, long containment checks, deduplication, and shared 12-token-window filtering against fixed development/final gates", | |
| "legacy_training_split_sources": [ | |
| "GSM8K train", | |
| "ARC-Challenge train", | |
| "Hendrycks MATH train", | |
| "ProofWriter train" | |
| ], | |
| "other_sources": [ | |
| "NuminaMath-CoT", | |
| "Bespoke-Stratos-17k", | |
| "SmolTalk / Smol-SmolTalk", | |
| "Qwen3.8-27B synthetic and distilled answers", | |
| "random verified mathematics" | |
| ], | |
| "note": "This retained checkpoint predates the stricter benchmark-evaluation-only policy now used for future work. Training-split use is disclosed here; no reported held-out row was used for training." | |
| }, | |
| "full_split_comparison": { | |
| "date": "2026-08-26", | |
| "type": "complete-split controlled comparison; not an official leaderboard submission", | |
| "models": { | |
| "old_public": { | |
| "repo": "Asilarkness/Budgie-500m", | |
| "revision": "39c877f07ddc80aa975809a4d87c848372316caf", | |
| "weight_sha256": "10845d227ea7ea50d14757df426e5265820c6fe1d48741b0c38b4fc23bd2381e" | |
| }, | |
| "current_leader": { | |
| "repo": "Asilarkness/Budgie-500m", | |
| "weights_revision": "34f0d09538dcca578ea672ba717e8e9f2672021f", | |
| "checkpoint": "ba2_vmath_a025 / verified-math-a025", | |
| "weight_sha256": "7404de2c08df968f41800d1362704a0ad4106ea0116cd0cd4b1709612a2a66be" | |
| } | |
| }, | |
| "datasets": { | |
| "gsm8k": { | |
| "repo": "openai/gsm8k", | |
| "config": "main", | |
| "split": "test", | |
| "n": 1319 | |
| }, | |
| "math500": { | |
| "repo": "HuggingFaceH4/MATH-500", | |
| "split": "test", | |
| "n": 500 | |
| }, | |
| "arc_challenge": { | |
| "repo": "allenai/ai2_arc", | |
| "config": "ARC-Challenge", | |
| "split": "test", | |
| "n": 1172 | |
| }, | |
| "folio": { | |
| "repo": "tasksource/folio", | |
| "split": "validation", | |
| "n": 203 | |
| }, | |
| "helpsteer2": { | |
| "repo": "nvidia/HelpSteer2", | |
| "split": "validation", | |
| "paired_non_tied_rows": 373, | |
| "note": "Reused complete 373-pair evaluation already computed for these exact revisions." | |
| } | |
| }, | |
| "protocol": { | |
| "prompts": "same user-only task prompts for both models", | |
| "decoding": "greedy", | |
| "budgets": { | |
| "gsm8k": 256, | |
| "math500": 384, | |
| "arc_challenge": 128, | |
| "folio": 160 | |
| }, | |
| "scoring": { | |
| "gsm8k": "final numeric answer exact match", | |
| "math500": "math_verify symbolic equivalence against reference solution, main thread", | |
| "arc_challenge": "final option label; handles letter and numeric label variants", | |
| "folio": "final True/False/Uncertain exact label", | |
| "helpsteer2": "lower assistant-answer NLL on human-preferred response" | |
| }, | |
| "batching": "Only prompts with identical tokenized input length were batched. No input padding. Each row was truncated manually at its first EOS. A two-prompt audit exactly matched sequential generation.", | |
| "invalid_attempt": "An earlier unequal-length padded batch was detected as corrupt and discarded; none of those outputs enter this report." | |
| }, | |
| "runtime": { | |
| "torch": "2.11.0+cu130", | |
| "transformers": "5.15.1", | |
| "datasets": "5.0.0" | |
| }, | |
| "results": { | |
| "tasks": { | |
| "gsm8k": { | |
| "n": 1319, | |
| "old_correct": 191, | |
| "current_correct": 245, | |
| "old_score": 0.14480667172100076, | |
| "current_score": 0.18574677786201668, | |
| "delta": 0.04094010614101592, | |
| "improved": 143, | |
| "worsened": 89, | |
| "paired_binomial_p": 0.00047624975354938266 | |
| }, | |
| "math500": { | |
| "n": 500, | |
| "old_correct": 62, | |
| "current_correct": 60, | |
| "old_score": 0.124, | |
| "current_score": 0.12, | |
| "delta": -0.004, | |
| "improved": 24, | |
| "worsened": 26, | |
| "paired_binomial_p": 0.887724827340783 | |
| }, | |
| "arc_challenge": { | |
| "n": 1172, | |
| "old_correct": 291, | |
| "current_correct": 323, | |
| "old_score": 0.24829351535836178, | |
| "current_score": 0.27559726962457337, | |
| "delta": 0.027303754266211604, | |
| "improved": 246, | |
| "worsened": 214, | |
| "paired_binomial_p": 0.14827050225768382 | |
| }, | |
| "folio": { | |
| "n": 203, | |
| "old_correct": 63, | |
| "current_correct": 72, | |
| "old_score": 0.3103448275862069, | |
| "current_score": 0.35467980295566504, | |
| "delta": 0.04433497536945813, | |
| "improved": 25, | |
| "worsened": 16, | |
| "paired_binomial_p": 0.21102359760880063 | |
| }, | |
| "helpsteer2": { | |
| "n": 373, | |
| "old_correct": 166, | |
| "current_correct": 169, | |
| "old_score": 0.4450402144772118, | |
| "current_score": 0.45308310991957107, | |
| "delta": 0.00804289544235925, | |
| "improved": 9, | |
| "worsened": 6, | |
| "paired_binomial_p": 0.6072387695312499 | |
| } | |
| }, | |
| "reasoning_macro_old": 0.20686125366639235, | |
| "reasoning_macro_current": 0.23400596261056378, | |
| "reasoning_delta": 0.027144708944171425, | |
| "five_metric_composite_old": 0.25449704582855626, | |
| "five_metric_composite_current": 0.2778213920723652, | |
| "five_metric_delta": 0.02332434624380897, | |
| "paired_bootstrap_delta_95": [ | |
| 0.00678765357806182, | |
| 0.03969201450574924 | |
| ], | |
| "probability_delta_positive": 0.9978666666666667, | |
| "bootstrap_samples": 30000 | |
| }, | |
| "artifact": "https://huggingface.co/Asilarkness/testgeniy/tree/main/candidates/budgie-alignment-v2/fullbench-old-vs-vmath25-v1" | |
| } | |
| } | |