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DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-LoRA

DuoNeural 8B MoE second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/DuoNeural%2FLFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-LoRA"
Response includes
  • classification m1
  • files 7
  • hub_downloads_all_time 10
  • author_summary 45 models
  • readme_text full
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 GET/methods/m1
What "m1" means · taxonomy
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
10
Likes
1
Model age
6w ago
created 2026-09-18
Downloads over time
Now10→from0↑0%
047110 on Sep 1810 on Nov 310 on Sep 20SepOctNov
Sep 18 → Nov 3 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

DuoNeural/LFM2.5-8B-A1B-Abliterated↓ 106 this lineage
DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-LoRA↓ 10

Metadata

Tags
hermes safetensors duo-neural agentic coding function-calling liquid-foundation-model moe abliterated code evalplus reasoning

Related

Other by DuoNeural
Gemma4-12B-IT-Abliterated-GGUF 8K LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-GGUF 6K Qwen3-8B-Abliterated-GGUF 2K OpenYourMind-Gemma4-12B-IT-Abliterated-GGUF 1K Gemma-4-E4B-Abliterated-GGUF 1K
Same base model
DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-GGUF 956 DuoNeural/LFM2.5-8B-A1B-Abliterated-GGUF 476 DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-LoRA 13 DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v2-LoRA 10 DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated 0
Total size
87.0 MB
Files
7
Quantizations
1
Registered
2026-09-18 22:56
Last updated on HF
2026-09-19 15:39
Source huggingface.co/DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-LoRA ↗ Base model DuoNeural/LFM2.5-8B-A1B-Abliterated →

Files by quantization

Auxiliary files 7 files 104 MB
adapter_model.safetensors 87.0 MB 7bd0470a download
tokenizer.json 17.1 MB 695be780 download
README.md 5.10 KB 3a8152fc download
chat_template.jinja 4.51 KB 8bca4a54 download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.18 KB 3b71d7e0 download
tokenizer_config.json 453 B 6b209abe download

README current version from Hugging Face

base_model: DuoNeural/LFM2.5-8B-A1B-Abliterated
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:DuoNeural/LFM2.5-8B-A1B-Abliterated
  • lora
  • transformers

Model Card for Model ID

Model Details

Model Description

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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

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Evaluation

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Framework versions

  • PEFT 0.21.0

README history 2 versions

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

  1. 2026-09-19docs: publish official DuoNeural v3 model card and benchmarks7a996487.1 KB
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  2. 2026-09-18feat: release DuoNeural LFM2.5-8B Hermes Agentic Coder Abliterated v3 LoRA ad...8eaa7645.1 KB
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