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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| 18489 |
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"param_name":"overcorrect_relative_weight","param_value_internal":0.7786141502943147,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 18490 |
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"param_name":"neighbor_count","param_value_internal":6.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 18491 |
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":38,"preserve_good_behavior_weight":0.3315753415554528,"steer_bad_behavior_weight":0.0017828882877093965,"overcorrect_relative_weight":0.958294338823772,"neighbor_count":6,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 18489 |
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"param_name":"overcorrect_relative_weight","param_value_internal":0.7786141502943147,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 18490 |
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"param_name":"neighbor_count","param_value_internal":6.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 18491 |
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":38,"preserve_good_behavior_weight":0.3315753415554528,"steer_bad_behavior_weight":0.0017828882877093965,"overcorrect_relative_weight":0.958294338823772,"neighbor_count":6,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 18492 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.47,"rich_display":"[bold]47[/]/100","md_display":"47/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.017756106331944466,"rich_display":"[bold]0.0178[/]","md_display":"0.0178"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 18493 |
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1536,"state":1,"values":[0.47,0.017756106331944466],"datetime_complete":"2026-10-24T01:40:45.134413+00:00"}
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| 18494 |
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{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T01:40:45.135083+00:00"}
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| 18495 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"user_attr":{"index":1538}}
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| 18496 |
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{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 33, \"neighbor_count\": 10, \"overcorrect_relative_weight\": 0.7870480249518519, \"preserve_good_behavior_weight\": 0.3163047167104744, \"start_layer_index\": 23, \"steer_bad_behavior_weight\": 0.29337979866221015}"}}
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| 18497 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"param_name":"start_layer_index","param_value_internal":23.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 0, \"high\": 24}}"}
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| 18498 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"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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| 18499 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"param_name":"preserve_good_behavior_weight","param_value_internal":0.3163047167104744,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 18500 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"param_name":"steer_bad_behavior_weight","param_value_internal":0.29337979866221015,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 18501 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"param_name":"overcorrect_relative_weight","param_value_internal":0.7870480249518519,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 18502 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"param_name":"neighbor_count","param_value_internal":10.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 18503 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"user_attr":{"parameters":{"start_layer_index":23,"end_layer_index":33,"preserve_good_behavior_weight":0.3163047167104744,"steer_bad_behavior_weight":0.005416454547600402,"overcorrect_relative_weight":0.9686744922484332,"neighbor_count":10,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 18504 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.31,"rich_display":"[bold]31[/]/100","md_display":"31/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.02260516956448555,"rich_display":"[bold]0.0226[/]","md_display":"0.0226"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 18505 |
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1537,"state":1,"values":[0.31,0.02260516956448555],"datetime_complete":"2026-10-24T01:41:39.047394+00:00"}
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| 18506 |
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{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T01:41:39.047916+00:00"}
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| 18507 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"user_attr":{"index":1539}}
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| 18508 |
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{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 38, \"neighbor_count\": 6, \"overcorrect_relative_weight\": 0.7794792104276936, \"preserve_good_behavior_weight\": 0.34461788872722243, \"start_layer_index\": 22, \"steer_bad_behavior_weight\": 0.006987215742760144}"}}
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| 18509 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"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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| 18510 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"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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| 18511 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"param_name":"preserve_good_behavior_weight","param_value_internal":0.34461788872722243,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 18512 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"param_name":"steer_bad_behavior_weight","param_value_internal":0.006987215742760144,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 18513 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"param_name":"overcorrect_relative_weight","param_value_internal":0.7794792104276936,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 18514 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"param_name":"neighbor_count","param_value_internal":6.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 18515 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":38,"preserve_good_behavior_weight":0.34461788872722243,"steer_bad_behavior_weight":0.0008358956718849645,"overcorrect_relative_weight":0.9593590282186999,"neighbor_count":6,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 18516 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.55,"rich_display":"[bold]55[/]/100","md_display":"55/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.012814030982553959,"rich_display":"[bold]0.0128[/]","md_display":"0.0128"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 18517 |
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1538,"state":1,"values":[0.55,0.012814030982553959],"datetime_complete":"2026-10-24T01:42:39.964887+00:00"}
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| 18518 |
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{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T01:42:39.965413+00:00"}
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| 18519 |
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{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"user_attr":{"index":1540}}
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| 18520 |
+
{"op_code":9,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"system_attr":{"tpe:relative_params:0":"{\"end_layer_index\": 38, \"neighbor_count\": 6, \"overcorrect_relative_weight\": 0.7904828792701665, \"preserve_good_behavior_weight\": 0.32453531135444097, \"start_layer_index\": 22, \"steer_bad_behavior_weight\": 0.02639840729421385}"}}
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| 18521 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"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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| 18522 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"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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| 18523 |
+
{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"param_name":"preserve_good_behavior_weight","param_value_internal":0.32453531135444097,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.0, \"log\": false}}"}
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| 18524 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"param_name":"steer_bad_behavior_weight","param_value_internal":0.02639840729421385,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0001, \"high\": 1.0, \"log\": true}}"}
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| 18525 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"param_name":"overcorrect_relative_weight","param_value_internal":0.7904828792701665,"distribution":"{\"name\": \"FloatDistribution\", \"attributes\": {\"step\": null, \"low\": 0.0, \"high\": 1.3, \"log\": false}}"}
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| 18526 |
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{"op_code":5,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"param_name":"neighbor_count","param_value_internal":6.0,"distribution":"{\"name\": \"IntDistribution\", \"attributes\": {\"log\": false, \"step\": 1, \"low\": 1, \"high\": 15}}"}
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| 18527 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"user_attr":{"parameters":{"start_layer_index":22,"end_layer_index":38,"preserve_good_behavior_weight":0.32453531135444097,"steer_bad_behavior_weight":0.001624758668055471,"overcorrect_relative_weight":0.9729020052555896,"neighbor_count":6,"loss_mode":"relative","shared_expert_components":["up_proj","gate_proj"]}}}
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| 18528 |
+
{"op_code":8,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"user_attr":{"scores":[{"name":"Refusals","score":{"value":0.47,"rich_display":"[bold]47[/]/100","md_display":"47/100"},"baseline":{"value":0.98,"rich_display":"[bold]98[/]/100","md_display":"98/100"}},{"name":"KL divergence","score":{"value":0.015422720462083817,"rich_display":"[bold]0.0154[/]","md_display":"0.0154"},"baseline":{"value":0,"rich_display":"[bold]0[/] [italic](by definition)[/]","md_display":"0 *(by definition)*"}}]}}
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| 18529 |
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{"op_code":6,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","trial_id":1539,"state":1,"values":[0.47,0.015422720462083817],"datetime_complete":"2026-10-24T01:43:41.367792+00:00"}
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| 18530 |
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{"op_code":4,"worker_id":"c99c3b6b-75d0-4176-9ff5-9ae33526fc2d-140144717083520","study_id":0,"datetime_start":"2026-10-24T01:43:41.368460+00:00"}
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| 18593 |
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| 18594 |
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| 18595 |
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| 18596 |
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| 18597 |
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| 18598 |
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| 18599 |
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