Josiefied Qwen2.5 14B Instruct Abliterated V2 is an open-source language model by Goekdeniz-Guelmez. Features: 14b LLM, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.
Arxiv:2309.00071 Arxiv:2407.10671 Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in... Chat Conversational De En Endpoints compatible Instruct Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v2
Josiefied Qwen2.5 14B Instruct Abliterated V2 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Josiefied Qwen2.5 14B Instruct Abliterated V2 Parameters and Internals
| LLM Name | Josiefied Qwen2.5 14B Instruct Abliterated V2 |
| Repository 🤗 | https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v2 |
| Base Model(s) | |
| Model Size | 14b |
| Updated | 2024-10-21 |
| Maintainer | Goekdeniz-Guelmez |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.1 |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Josiefied Qwen2.5 14B Instruct Abliterated V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B Instruct 1M | 986K / 29.6 GB | 18001 | 337 |
| T3Q Qwen2.5 14B V1.0 E3 | 986K / 29.7 GB | 852 | 28 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 36 | 8 |
| Qwen2.5 14B 1M YOYO V3 | 986K / 29.7 GB | 254 | 4 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 13 | 5 |
| Qwen2.5 14B YOYO Latest V2 | 986K / 29.7 GB | 129 | 0 |
| ZYH LLM Qwen2.5 14B V3 | 986K / 29.7 GB | 16 | 8 |
| ...14B Instruct 1M GRPO Reasoning | 986K / 29.7 GB | 64 | 4 |
| Impish QWEN 14B 1M | 986K / 29.7 GB | 15 | 24 |
| Q2.5 14B Instruct 1M Harmony | 986K / 29.7 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v2 .
Rank the Josiefied Qwen2.5 14B Instruct Abliterated V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a