license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags: - qwen3
- instruct
- conversational
- egypt-won
- heretic
- uncensored
- decensored
- abliterated
- reproducible
This is a decensored version of AliesTaha/fable-traces, made using Heretic v1.4.0
[!TIP]
This model is reproducible!See the README in the
reproducedirectory for more information.
Abliteration parameters
| Parameter | Value |
|---|---|
| direction_index | 21.38 |
| attn.o_proj.max_weight | 0.81 |
| attn.o_proj.max_weight_position | 26.94 |
| attn.o_proj.min_weight | 0.47 |
| attn.o_proj.min_weight_distance | 1.57 |
| mlp.down_proj.max_weight | 1.02 |
| mlp.down_proj.max_weight_position | 21.25 |
| mlp.down_proj.min_weight | 0.79 |
| mlp.down_proj.min_weight_distance | 1.15 |
Performance
| Metric | This model | Original model (AliesTaha/fable-traces) |
|---|---|---|
| KL divergence | 0.0011 | 0 (by definition) |
| Refusals | 3/100 | 3/100 |
fable-traces
A compact instruction-tuned language model built on
Qwen/Qwen3-4B-Instruct-2507.fable-traces is tuned for short, conversational replies and runs comfortably on a
single mid-range GPU.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "AliesTaha/fable-traces"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(repo, dtype=torch.bfloat16, device_map="auto")
messages = [{"role": "user", "content": "Tell me something interesting."}]
ids = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
out = model.generate(ids, max_new_tokens=100, do_sample=False)
print(tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True))
Serve with vLLM:
vllm serve AliesTaha/fable-traces
Details
| Base model | Qwen3-4B-Instruct-2507 |
| Parameters | ~4B |
| Precision | bfloat16 (safetensors) |
| Prompt format | ChatML — use the tokenizer's chat template |
| Context length | inherits the base model |
License
Apache 2.0, following the base model.
Disclaimer
This is a joke. This is not an actual model. Please read the full post first