Text Generation
Transformers
Safetensors
flint
heretic
uncensored
decensored
abliterated
reproducible
conversational
Instructions to use electroglyph/flint-uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use electroglyph/flint-uncensored with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="electroglyph/flint-uncensored") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("electroglyph/flint-uncensored") model = AutoModelForCausalLM.from_pretrained("electroglyph/flint-uncensored", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use electroglyph/flint-uncensored with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "electroglyph/flint-uncensored" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "electroglyph/flint-uncensored", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/electroglyph/flint-uncensored
- SGLang
How to use electroglyph/flint-uncensored 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 "electroglyph/flint-uncensored" \ --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": "electroglyph/flint-uncensored", "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 "electroglyph/flint-uncensored" \ --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": "electroglyph/flint-uncensored", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use electroglyph/flint-uncensored with Docker Model Runner:
docker model run hf.co/electroglyph/flint-uncensored
Run sync: periodic
Browse files
heretic_checkpoints/RecursiveSI--flint.jsonl
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"param_name":"overcorrect_relative_weight","param_value_internal":0.7094811149043132,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"param_name":"neighbor_count","param_value_internal":5.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"user_attr":{"parameters":{"start_layer_index":23,"end_layer_index":35,"preserve_good_behavior_weight":0.30906999518843115,"steer_bad_behavior_weight":0.0004166079627986881,"overcorrect_relative_weight":0.8732075260360779,"neighbor_count":5,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"param_name":"overcorrect_relative_weight","param_value_internal":0.7094811149043132,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"param_name":"neighbor_count","param_value_internal":5.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 21311 |
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"user_attr":{"parameters":{"start_layer_index":23,"end_layer_index":35,"preserve_good_behavior_weight":0.30906999518843115,"steer_bad_behavior_weight":0.0004166079627986881,"overcorrect_relative_weight":0.8732075260360779,"neighbor_count":5,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.73,"rich_display":"[bold]73[/]/100","md_display":"73/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.011609715409576893,"rich_display":"[bold]0.0116[/]","md_display":"0.0116"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1771,"state":1,"values":[0.73,0.011609715409576893],"datetime_complete":"2026-10-24T05:40:54.459944+00:00"}
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| 21314 |
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{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T05:40:54.460653+00:00"}
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"user_attr":{"index":1773}}
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{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 38, \"neighbor_count\": 4, \"overcorrect_relative_weight\": 0.8099563121262267, \"preserve_good_behavior_weight\": 0.3592756977891228, \"start_layer_index\": 22, \"steer_bad_behavior_weight\": 0.04873997376845048}"}}
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| 21317 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"start_layer_index","param_value_internal":22.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 0, \"high\": 24}}"}
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| 21318 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"end_layer_index","param_value_internal":38.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 25, \"high\": 49}}"}
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| 21319 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"preserve_good_behavior_weight","param_value_internal":0.3592756977891228,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 21320 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"steer_bad_behavior_weight","param_value_internal":0.04873997376845048,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 21321 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"overcorrect_relative_weight","param_value_internal":0.8099563121262267,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 21322 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"param_name":"neighbor_count","param_value_internal":4.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 21323 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":38,"preserve_good_behavior_weight":0.3592756977891228,"steer_bad_behavior_weight":0.0022077131554722102,"overcorrect_relative_weight":0.996869307232279,"neighbor_count":4,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 21324 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.33,"rich_display":"[bold]33[/]/100","md_display":"33/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.019486386328935623,"rich_display":"[bold]0.0195[/]","md_display":"0.0195"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 21325 |
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1772,"state":1,"values":[0.33,0.019486386328935623],"datetime_complete":"2026-10-24T05:41:57.639921+00:00"}
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| 21326 |
+
{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T05:41:57.640754+00:00"}
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| 21327 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"user_attr":{"index":1774}}
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| 21328 |
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{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 35, \"neighbor_count\": 5, \"overcorrect_relative_weight\": 0.7290815942823974, \"preserve_good_behavior_weight\": 0.30900786607556, \"start_layer_index\": 22, \"steer_bad_behavior_weight\": 0.001883457934466011}"}}
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| 21329 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"start_layer_index","param_value_internal":22.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 0, \"high\": 24}}"}
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| 21330 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"end_layer_index","param_value_internal":35.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 25, \"high\": 49}}"}
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| 21331 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"preserve_good_behavior_weight","param_value_internal":0.30900786607556,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 21332 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"steer_bad_behavior_weight","param_value_internal":0.001883457934466011,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 21333 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"overcorrect_relative_weight","param_value_internal":0.7290815942823974,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 21334 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"param_name":"neighbor_count","param_value_internal":5.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 21335 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":35,"preserve_good_behavior_weight":0.30900786607556,"steer_bad_behavior_weight":0.00043398824113862974,"overcorrect_relative_weight":0.8973311929629507,"neighbor_count":5,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 21336 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.81,"rich_display":"[bold]81[/]/100","md_display":"81/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.009754919447004795,"rich_display":"[bold]0.0098[/]","md_display":"0.0098"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 21337 |
+
{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1773,"state":1,"values":[0.81,0.009754919447004795],"datetime_complete":"2026-10-24T05:42:55.913265+00:00"}
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| 21338 |
+
{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T05:42:55.914352+00:00"}
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| 21339 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"user_attr":{"index":1775}}
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| 21340 |
+
{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 33, \"neighbor_count\": 9, \"overcorrect_relative_weight\": 0.7838084600003502, \"preserve_good_behavior_weight\": 0.33898070096301913, \"start_layer_index\": 22, \"steer_bad_behavior_weight\": 0.06284077098298547}"}}
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| 21341 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"start_layer_index","param_value_internal":22.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 0, \"high\": 24}}"}
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| 21342 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"end_layer_index","param_value_internal":33.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 25, \"high\": 49}}"}
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| 21343 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"preserve_good_behavior_weight","param_value_internal":0.33898070096301913,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 21344 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"steer_bad_behavior_weight","param_value_internal":0.06284077098298547,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 21345 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"overcorrect_relative_weight","param_value_internal":0.7838084600003502,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 21346 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"param_name":"neighbor_count","param_value_internal":9.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 21347 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":33,"preserve_good_behavior_weight":0.33898070096301913,"steer_bad_behavior_weight":0.0025068061549107772,"overcorrect_relative_weight":0.9646873353850465,"neighbor_count":9,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 21348 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.45,"rich_display":"[bold]45[/]/100","md_display":"45/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.014474625699222088,"rich_display":"[bold]0.0145[/]","md_display":"0.0145"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 21349 |
+
{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1774,"state":1,"values":[0.45,0.014474625699222088],"datetime_complete":"2026-10-24T05:43:51.671572+00:00"}
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