Text Generation
Transformers
Safetensors
busybeaver_qdelta
busybeaver
tool-calling
agent-policy
json
local-agents
qdelta
50m
Instructions to use GestaltLabs/BusyBeaver-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GestaltLabs/BusyBeaver-50M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GestaltLabs/BusyBeaver-50M")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("GestaltLabs/BusyBeaver-50M", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use GestaltLabs/BusyBeaver-50M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GestaltLabs/BusyBeaver-50M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GestaltLabs/BusyBeaver-50M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/GestaltLabs/BusyBeaver-50M
- SGLang
How to use GestaltLabs/BusyBeaver-50M 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 "GestaltLabs/BusyBeaver-50M" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GestaltLabs/BusyBeaver-50M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "GestaltLabs/BusyBeaver-50M" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GestaltLabs/BusyBeaver-50M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use GestaltLabs/BusyBeaver-50M with Docker Model Runner:
docker model run hf.co/GestaltLabs/BusyBeaver-50M
Promote best BusyBeaver checkpoint 250
Browse files- README.md +17 -5
- busybeaver_eval/metrics.json +38 -28
- busybeaver_eval/report.md +37 -29
- busybeaver_eval/traces.jsonl +0 -0
- busybeaver_state.pt +1 -1
- model.safetensors +1 -1
README.md
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- Browser-agent data was not the primary training target yet.
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- The architecture is custom, so ordinary inference engines need a BusyBeaver adapter unless exported through a compatible runtime wrapper.
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## Provenance
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- Full checkpoint archive: `GestaltLabs/BusyBeaver-50M-v11-grounding-runpod`
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- Training payload: `DJLougen/busybeaver-training-payload-v11-grounding`
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- Browser-agent data was not the primary training target yet.
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- The architecture is custom, so ordinary inference engines need a BusyBeaver adapter unless exported through a compatible runtime wrapper.
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## Latest Promotion
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Promoted from `GestaltLabs/BusyBeaver-50M-v12-path-grounding-runpod` checkpoint `250`.
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| Metric | Score |
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| --- | ---: |
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| json_validity_rate | 1.0000 |
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| strict_json_rate | 1.0000 |
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| schema_validity_rate | 0.9792 |
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| valid_tool_rate | 0.9974 |
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| correct_tool_accuracy | 0.9818 |
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| argument_exact_match | 0.6432 |
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| argument_semantic_match | 0.6510 |
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## Provenance
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- Promoted checkpoint: 250
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- Source checkpoint archive: `GestaltLabs/BusyBeaver-50M-v12-path-grounding-runpod`
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busybeaver_eval/metrics.json
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{
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"json_validity_rate":
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"strict_json_rate":
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"schema_validity_rate": 0.
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"valid_tool_rate": 0.
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"correct_tool_accuracy": 0.
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"argument_exact_match": 0.
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"argument_semantic_match": 0.
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"groups": {
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"edit": {
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"n":
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.
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"argument_semantic_match": 0.
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},
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"escalate": {
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"n":
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"argument_semantic_match": 1.0
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},
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"execute": {
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"n":
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match":
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"argument_semantic_match":
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"inspect": {
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"schema_validity_rate": 0.
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"valid_tool_rate": 0.
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"correct_tool_accuracy": 0.
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"argument_exact_match": 0.
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"argument_semantic_match": 0.
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"other": {
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"n":
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_semantic_match":
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"test": {
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"n":
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.
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"argument_semantic_match": 0.
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}
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}
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{
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 0.9791666666666666,
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"valid_tool_rate": 0.9973958333333334,
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"correct_tool_accuracy": 0.9817708333333334,
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"argument_exact_match": 0.6432291666666666,
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"argument_semantic_match": 0.6510416666666666,
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"groups": {
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"edit": {
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"n": 49,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.6530612244897959,
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"argument_semantic_match": 0.6530612244897959
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},
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"escalate": {
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"n": 14,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"argument_semantic_match": 1.0
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},
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"execute": {
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"n": 45,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.7111111111111111,
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"argument_semantic_match": 0.7111111111111111
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},
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"inspect": {
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"n": 193,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 0.9585492227979274,
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"valid_tool_rate": 0.9948186528497409,
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"correct_tool_accuracy": 0.9637305699481865,
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"argument_exact_match": 0.7150259067357513,
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"argument_semantic_match": 0.7202072538860104
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},
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"memory": {
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"n": 12,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.0,
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"argument_semantic_match": 0.0
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},
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"other": {
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"n": 45,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.4444444444444444,
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"argument_semantic_match": 0.4888888888888889
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},
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"test": {
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"n": 26,
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"json_validity_rate": 1.0,
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"strict_json_rate": 1.0,
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"schema_validity_rate": 1.0,
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"valid_tool_rate": 1.0,
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"correct_tool_accuracy": 1.0,
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"argument_exact_match": 0.4230769230769231,
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"argument_semantic_match": 0.4230769230769231
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}
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}
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}
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busybeaver_eval/report.md
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# BusyBeaver Checkpoint Evaluation
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- Step:
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- json_validity_rate:
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## Grouped Metrics
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### edit (n=
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.
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### escalate (n=
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- argument_exact_match: 1.0000
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- argument_semantic_match: 1.0000
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### execute (n=
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match:
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- argument_semantic_match:
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### inspect (n=
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- json_validity_rate:
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- schema_validity_rate: 0.
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- valid_tool_rate: 0.
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- correct_tool_accuracy: 0.
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- argument_exact_match: 0.
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- argument_semantic_match: 0.
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###
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match:
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- argument_semantic_match:
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###
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- json_validity_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.
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- argument_semantic_match: 0.
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# BusyBeaver Checkpoint Evaluation
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- Step: 250
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 0.9792
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- valid_tool_rate: 0.9974
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- correct_tool_accuracy: 0.9818
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- argument_exact_match: 0.6432
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- argument_semantic_match: 0.6510
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## Grouped Metrics
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### edit (n=49)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.6531
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- argument_semantic_match: 0.6531
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### escalate (n=14)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 1.0000
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- argument_semantic_match: 1.0000
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### execute (n=45)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.7111
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- argument_semantic_match: 0.7111
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### inspect (n=193)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 0.9585
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| 43 |
+
- valid_tool_rate: 0.9948
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| 44 |
+
- correct_tool_accuracy: 0.9637
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| 45 |
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- argument_exact_match: 0.7150
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| 46 |
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- argument_semantic_match: 0.7202
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| 47 |
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### memory (n=12)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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| 51 |
- valid_tool_rate: 1.0000
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| 52 |
- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.0000
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- argument_semantic_match: 0.0000
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### other (n=45)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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- argument_exact_match: 0.4444
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- argument_semantic_match: 0.4889
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### test (n=26)
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- json_validity_rate: 1.0000
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- strict_json_rate: 1.0000
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- schema_validity_rate: 1.0000
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- valid_tool_rate: 1.0000
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- correct_tool_accuracy: 1.0000
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| 69 |
+
- argument_exact_match: 0.4231
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+
- argument_semantic_match: 0.4231
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busybeaver_state.pt
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model.safetensors
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