Text Generation
Transformers
Safetensors
English
gemma4
uncensored
abliterated
forensics
thinking
reasoning
2026
Instructions to use DreamFast/Gemma4-e4b-abliterlitics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DreamFast/Gemma4-e4b-abliterlitics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DreamFast/Gemma4-e4b-abliterlitics")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DreamFast/Gemma4-e4b-abliterlitics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use DreamFast/Gemma4-e4b-abliterlitics with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DreamFast/Gemma4-e4b-abliterlitics" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DreamFast/Gemma4-e4b-abliterlitics", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DreamFast/Gemma4-e4b-abliterlitics
- SGLang
How to use DreamFast/Gemma4-e4b-abliterlitics 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 "DreamFast/Gemma4-e4b-abliterlitics" \ --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": "DreamFast/Gemma4-e4b-abliterlitics", "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 "DreamFast/Gemma4-e4b-abliterlitics" \ --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": "DreamFast/Gemma4-e4b-abliterlitics", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DreamFast/Gemma4-e4b-abliterlitics with Docker Model Runner:
docker model run hf.co/DreamFast/Gemma4-e4b-abliterlitics
| tensor,mean_abs_diff | |
| model.language_model.layers.27.self_attn.o_proj.weight,0.0010623382404446602 | |
| model.language_model.layers.28.self_attn.o_proj.weight,0.0010128926951438189 | |
| model.language_model.layers.31.self_attn.o_proj.weight,0.0009886118350550532 | |
| model.language_model.layers.26.self_attn.o_proj.weight,0.0008891881443560123 | |
| model.language_model.layers.36.self_attn.o_proj.weight,0.0008473398047499359 | |
| model.language_model.layers.24.self_attn.o_proj.weight,0.0008385850815102458 | |
| model.language_model.layers.28.mlp.up_proj.weight,0.0008321956265717745 | |
| model.language_model.layers.25.self_attn.o_proj.weight,0.0008189470390789211 | |
| model.language_model.layers.27.mlp.up_proj.weight,0.0008188427309505641 | |
| model.language_model.layers.29.self_attn.o_proj.weight,0.0008008129661902785 | |
| model.language_model.layers.28.mlp.gate_proj.weight,0.0007967656129039824 | |
| model.language_model.layers.27.mlp.gate_proj.weight,0.0007884491933509707 | |
| model.language_model.layers.28.self_attn.q_proj.weight,0.0007819418096914887 | |
| model.language_model.layers.19.self_attn.o_proj.weight,0.000749287020880729 | |
| model.language_model.layers.29.mlp.gate_proj.weight,0.0007452424615621567 | |
| model.language_model.layers.33.self_attn.o_proj.weight,0.000740315648727119 | |
| model.language_model.layers.29.mlp.up_proj.weight,0.0007391414255835116 | |
| model.language_model.layers.19.self_attn.v_proj.weight,0.0007287319167517126 | |
| model.language_model.layers.30.self_attn.o_proj.weight,0.0007223371649160981 | |
| model.language_model.layers.24.mlp.up_proj.weight,0.0007214168435893953 | |
| model.language_model.layers.27.self_attn.q_proj.weight,0.0007172318291850388 | |
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| model.language_model.layers.25.mlp.up_proj.weight,0.000702490156982094 | |
| model.language_model.layers.32.self_attn.o_proj.weight,0.0006974922143854201 | |
| model.language_model.layers.29.mlp.down_proj.weight,0.0006808234611526132 | |
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| model.language_model.layers.34.self_attn.o_proj.weight,0.0006374444928951561 | |
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| model.language_model.layers.21.self_attn.o_proj.weight,0.0005505570443347096 | |
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| model.language_model.layers.21.mlp.up_proj.weight,0.0005403832765296102 | |
| model.language_model.layers.19.self_attn.k_proj.weight,0.0005247301305644214 | |
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| model.language_model.layers.35.self_attn.o_proj.weight,0.0005227057263255119 | |
| model.language_model.layers.21.mlp.gate_proj.weight,0.0005199729930609465 | |
| model.language_model.layers.20.mlp.up_proj.weight,0.0005166282062418759 | |
| model.language_model.layers.20.mlp.gate_proj.weight,0.0005115208914503455 | |
| model.language_model.layers.19.mlp.down_proj.weight,0.0005066853482276201 | |
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| model.language_model.layers.21.self_attn.k_proj.weight,0.00046612010919488966 | |
| model.language_model.layers.21.mlp.down_proj.weight,0.0004641263803932816 | |
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| model.language_model.layers.39.mlp.gate_proj.weight,0.00044783714110963047 | |
| model.language_model.layers.23.self_attn.v_proj.weight,0.0004463706281967461 | |
| model.language_model.layers.35.mlp.up_proj.weight,0.0004451260028872639 | |
| model.language_model.embed_tokens.weight,0.0004383536579553038 | |
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| model.language_model.layers.22.self_attn.o_proj.weight,0.0004375055432319641 | |
| model.language_model.layers.36.mlp.gate_proj.weight,0.0004374844138510525 | |
| model.language_model.layers.23.mlp.up_proj.weight,0.00043610300053842366 | |
| model.language_model.layers.21.self_attn.v_proj.weight,0.00043405796168372035 | |
| model.language_model.layers.20.mlp.down_proj.weight,0.00043354410445317626 | |
| model.language_model.layers.35.mlp.gate_proj.weight,0.00043236141209490597 | |
| model.language_model.layers.40.self_attn.q_proj.weight,0.0004318123683333397 | |
| model.language_model.layers.38.mlp.up_proj.weight,0.00042858743108808994 | |
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| model.language_model.layers.34.mlp.up_proj.weight,0.00042605039197951555 | |
| model.language_model.layers.34.mlp.gate_proj.weight,0.0004234176594763994 | |
| model.language_model.layers.40.mlp.gate_proj.weight,0.0004202245036140084 | |
| model.language_model.layers.34.self_attn.q_proj.weight,0.0004176786169409752 | |
| model.language_model.layers.37.mlp.gate_proj.weight,0.00041730600059963763 | |
| model.language_model.layers.39.self_attn.q_proj.weight,0.00041006592800840735 | |
| model.language_model.layers.17.mlp.up_proj.weight,0.0004091226728633046 | |
| model.language_model.layers.38.mlp.gate_proj.weight,0.00040704902494326234 | |
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| model.language_model.layers.17.self_attn.q_proj.weight,0.0004019287880510092 | |
| model.language_model.layers.17.mlp.gate_proj.weight,0.00040169936255551875 | |
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| model.language_model.layers.38.self_attn.q_proj.weight,0.0003911767271347344 | |
| model.language_model.layers.35.self_attn.q_proj.weight,0.0003907809150405228 | |
| model.language_model.layers.40.mlp.down_proj.weight,0.00038957639480941 | |
| model.language_model.layers.33.mlp.up_proj.weight,0.0003855795075651258 | |
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| model.language_model.layers.22.self_attn.q_proj.weight,0.0003792521310970187 | |
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| model.language_model.layers.32.mlp.gate_proj.weight,0.00037821789737790823 | |
| model.language_model.layers.17.mlp.down_proj.weight,0.0003768468741327524 | |
| model.language_model.layers.32.mlp.up_proj.weight,0.000376365176634863 | |
| model.language_model.layers.31.mlp.down_proj.weight,0.0003759071114473045 | |
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| model.language_model.layers.31.self_attn.q_proj.weight,0.00037191747105680406 | |
| model.language_model.layers.17.self_attn.k_proj.weight,0.00037136138416826725 | |
| model.language_model.layers.37.mlp.down_proj.weight,0.0003695660852827132 | |
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| model.language_model.layers.30.mlp.up_proj.weight,0.00034812212106771767 | |
| model.language_model.layers.30.mlp.gate_proj.weight,0.0003470636438578367 | |
| model.language_model.layers.33.mlp.down_proj.weight,0.000345585955074057 | |
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| model.language_model.layers.16.per_layer_input_gate.weight,8.047606851746547e-12 | |
| model.language_model.layers.14.per_layer_input_gate.weight,7.916512063943504e-12 | |
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| model.language_model.layers.8.per_layer_projection.weight,7.239720108132008e-12 | |
| model.language_model.layers.5.per_layer_input_gate.weight,7.161560407198397e-12 | |
| model.language_model.layers.16.per_layer_projection.weight,7.1353036326660124e-12 | |
| model.language_model.layers.13.per_layer_input_gate.weight,7.134503925143587e-12 | |
| model.language_model.layers.7.per_layer_input_gate.weight,7.068567953183447e-12 | |
| model.language_model.layers.15.per_layer_projection.weight,6.976819295900771e-12 | |
| model.language_model.layers.26.per_layer_input_gate.weight,6.878764051421182e-12 | |
| model.language_model.layers.32.per_layer_projection.weight,6.7692518257445045e-12 | |
| model.language_model.layers.25.per_layer_projection.weight,6.747313645305564e-12 | |
| model.language_model.layers.41.mlp.down_proj.weight,6.605724647834599e-12 | |
| model.language_model.layers.11.per_layer_input_gate.weight,6.294254180361225e-12 | |
| model.language_model.layers.41.self_attn.q_proj.weight,6.212538729982731e-12 | |
| model.language_model.layers.30.per_layer_input_gate.weight,6.107292623014349e-12 | |
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| model.language_model.layers.3.per_layer_input_gate.weight,5.8761884247360285e-12 | |
| model.language_model.layers.2.per_layer_input_gate.weight,5.8506090597210125e-12 | |
| model.language_model.layers.25.per_layer_input_gate.weight,5.753797611973699e-12 | |
| model.language_model.layers.15.mlp.down_proj.weight,5.696425536133587e-12 | |
| model.language_model.layers.41.self_attn.o_proj.weight,5.653808150818396e-12 | |
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| model.language_model.layers.14.mlp.down_proj.weight,5.1082597353480086e-12 | |
| model.language_model.layers.15.self_attn.k_proj.weight,5.084288458995223e-12 | |
| model.language_model.layers.12.mlp.down_proj.weight,5.081296494680032e-12 | |
| model.language_model.layers.31.per_layer_input_gate.weight,5.068745336650471e-12 | |
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