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Firworks/Psychosis-9B-v1-Uncensored-nvfp4

Firworks Gemma 4.2B second-order
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  • classification m-uncensored
  • files 14
  • hub_downloads_all_time 85
  • author_summary 2 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
85
19 last 30d - stable
Likes
0
Model age
8mo ago
created 2026-01-20

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

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Genealogy 0 direct forks

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Metadata

Tags
safetensors gemma2 nvfp4 fp4 quantized dataset:xensive/roleplaydataset100k base_model:Naphula/Psychosis-9B-v1-Uncensored base_model:quantized:Naphula/Psychosis-9B-v1-Uncensored 8-bit compressed-tensors region:us

Related

Total size
11.2 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-01-20 06:18

Files by quantization

Auxiliary files 14 files 11.2 GB
model-00001-of-00003.safetensors 4.64 GB 9c7f8e9e download
model-00003-of-00003.safetensors 3.42 GB dc823378 download
model-00002-of-00003.safetensors 3.14 GB 9d242df5 download
tokenizer.json 32.8 MB c6e713c3 download
tokenizer.model 4.04 MB 61a7b147 download
model.safetensors.index.json 119 KB 502e525f download
tokenizer_config.json 45.3 KB 67de4fb0 download
config.json 3.00 KB 7db4d8bb download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.12 KB effc3c75 download
special_tokens_map.json 636 B 8d6368f7 download
chat_template.jinja 591 B 923ec253 download
recipe.yaml 252 B 644f0bf2 download
generation_config.json 189 B 202e9d93 download

README current version from Hugging Face


datasets:

  • xensive/roleplaydataset100k
    base_model:
  • Naphula/Psychosis-9B-v1-Uncensored
    tags:
    • nvfp4
    • fp4
    • quantized

Psychosis-9B-v1-Uncensored-nvfp4

Format: NVFP4 — weights & activations quantized to FP4 with dual scaling.
Base model: Naphula/Psychosis-9B-v1-Uncensored
How it was made: One-shot calibration with LLM Compressor (NVFP4 recipe), long-seq calibration (256 samples of 4096 length) with xensive/roleplaydataset100k.

Notes: Keep lm_head in high precision; calibrate on long, domain-relevant sequences.

Check the original model card for information about this model.

Running the model with VLLM in Docker

sudo docker run --runtime nvidia --gpus all -p 8000:8000 --ipc=host vllm/vllm-openai:latest Firworks/Psychosis-9B-v1-Uncensored-nvfp4 --dtype auto --max-model-len 8192

This was tested on an RTX Pro 6000 Blackwell cloud instance.

If there are other models you're interested in seeing quantized to NVFP4 for use on the DGX Spark, or other modern Blackwell (or newer) cards let me know. I'm trying to make more NVFP4 models available to allow more people to try them out.

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-01-20Update README.md714d81b1.1 KB
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  2. 2026-01-20Add NVFP4 quantized checkpointb56f6cd1.1 KB
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