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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/artemds45%2Fitmo-nlp-hw6-qwen2-5-0-5b-abliterated" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.3198858477104683 | OpenLLM-v2 |
| IFEval instruct | 0.36810551558752996 | OpenLLM-v2 |
| IFEval-Prompt | 0.26247689463955637 | OpenLLM-v2 |
| MATH lvl 5 | 0 | OpenLLM-v2 |
| MMLU-Pro | 0.17195811170212766 | OpenLLM-v2 |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model.safetensors | 942 MB | 45593d0c | download |
| tokenizer.json | 10.9 MB | 5736bd64 | download |
| chat_template.jinja | 2.45 KB | bdf7919a | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 1.25 KB | c355d61b | download |
| tokenizer_config.json | 690 B | 0385b127 | download |
| README.md | 390 B | 8c631c19 | download |
| generation_config.json | 241 B | a5689f5b | download |
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
library_name: transformers
tags:
This repository contains a locally saved abliterated version of Qwen2.5-0.5B-Instruct
prepared for ITMO NLP+DL homework 6.
The DPO LoRA adapter is uploaded in the dpo_lora_adapter/ subfolder.
The author's README evolved over time. Click a version to see its content at that point.
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