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soyaakinohara/Spark-X2.5-4B-Heretic
Spark-X2.5-4B-Heretic is a text generation model from soyaakinohara. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Full-precision (BF16) refusal-attenuated derivative of the XHToken/Spark-X2.5-4B model.
Downloads · 30 days
205
19% of all-time downloads
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4.1B
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.safetensors8.2 GB · 100%
From the Hugging Face model README
Full-precision (BF16) refusal-attenuated derivative of the XHToken/Spark-X2.5-4B model.
No Japanese adaptation or tool training has been applied: this is the base model with refusal behavior removed only. It is the starting weight for the Japanese-adapted release at soyaakinohara/Spark-x2.5-4B-Heretic-jp.
model-00001-of-00003.safetensors
model-00002-of-00003.safetensors
model-00003-of-00003.safetensors
model.safetensors.index.json
config.json
configuration_spark.py # custom model code (trust_remote_code=True required)
modeling_spark.py
tokenizer.json / tokenizer_config.json
chat_template.jinja
generation_config.json
| Property | Value |
|---|---|
| Architecture | Spark2_5 |
| Parameters | 4.1B |
| Format | SafeTensors, BF16, 3 shards |
| License | Apache-2.0, inherited from the base model |
Custom model code is required:
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tok = AutoTokenizer.from_pretrained(
"soyaakinohara/Spark-X2.5-4B-Heretic", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
"soyaakinohara/Spark-X2.5-4B-Heretic",
dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
msgs = [{"role": "user", "content": "Hello."}]
text = tok.apply_chat_template(msgs, tokenize=False,
add_generation_prompt=True,
enable_thinking=False)
inp = tok(text, return_tensors="pt").to(model.device)
out = model.generate(**inp, max_new_tokens=512, do_sample=False)
print(tok.decode(out[0][inp["input_ids"].shape[1]:], skip_special_tokens=True))
The model was prepared and tested on:
OS: Ubuntu 24.04
GPUs: NVIDIA GeForce RTX 5060 Ti 16GB x 2
RAM: 32GB + 23GB swap
Runtime: PyTorch (BF16) + transformers
1e4c2477f330d1f11304d0dc092a9dbf4075f470Refusal attenuation with Heretic (refusals 58→3/100, KL 0.0118). No continued pretraining or instruction tuning was applied to this weight.
The local model preparation workflow and this model card were performed with assistance from Hermes Agent. The model was then reviewed and published by the repository owner.
This is an uncensored / refusal-removed model. It may produce content that an aligned model would refuse, including unsafe, illegal, or harmful material. It has no reliable built-in safety layer. Use appropriate access controls, moderation, logging, and human review for any deployment, and comply with all applicable laws and policies.
The model is provided as-is. Users are responsible for prompts, outputs, and any downstream actions based on them.
XHToken/Spark-X2.5-4B の無検閲版フル重み (BF16) です。日本語適応は行っていません。
日本語適応版は soyaakinohara/Spark-x2.5-4B-Heretic-jp にあります。
trust_remote_code=True が必要です。