Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b Endpoints compatible Instruct Lora Mergekit Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ngxson/LoRA-Qwen2.5-14B-Instruct-abliterated-v2
LoRA 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)
LoRA Qwen2.5 14B Instruct Abliterated V2 Parameters and Internals
| LLM Name | LoRA Qwen2.5 14B Instruct Abliterated V2 |
| Repository 🤗 | https://huggingface.co/ngxson/LoRA-Qwen2.5-14B-Instruct-abliterated-v2 |
| Base Model(s) | |
| Model Size | 14b |
| Required VRAM | 0.6 GB |
| Updated | 2025-02-05 |
| Maintainer | ngxson |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|o_proj|k_proj|gate_proj|down_proj|embed_tokens|v_proj|lm_head|up_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to LoRA Qwen2.5 14B Instruct Abliterated V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ....5 Coder 14B Instruct F16 GGUF | 0K / 29.5 GB | 204 | 8 |
| CausalLM 14B GGUF | 0K / 8.2 GB | 16120 | 173 |
Note: green Score (e.g. "73.2") means that the model is better than ngxson/LoRA-Qwen2.5-14B-Instruct-abliterated-v2 .
Rank the LoRA Qwen2.5 14B Instruct Abliterated V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227