4bit Base model:quantized:unsloth/q... Base model:unsloth/qwen2-1.5b-... Conversational En Endpoints compatible Gguf Instruct Q4 Quantized Qwen2 Region:us Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4
Jenna V3 Qwen2 1.5 GGUF Q4 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)
Jenna V3 Qwen2 1.5 GGUF Q4 Parameters and Internals
| LLM Name | Jenna V3 Qwen2 1.5 GGUF Q4 |
| Repository 🤗 | https://huggingface.co/V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 1 GB |
| Updated | 2025-11-24 |
| Maintainer | V3N0M |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Jenna V3 Qwen2 1.5 GGUF Q4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 1.5B Instruct GGUF | 0K / 0.4 GB | 384 | 9 |
| Jenna V3 Qwen2 1.5 GGUF | 0K / 3.1 GB | 14 | 1 |
| ...wen2.5 Coder 1.5B Instruct SFT | 0K / 0 GB | 21 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 .
Rank the Jenna V3 Qwen2 1.5 GGUF Q4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124