Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Dataset:alignment-lab-ai/orcam... Dataset:allura-org/fujin-clean... Dataset:allura-org/medquad sha... Dataset:allura-org/scienceqa s... Dataset:dampfinchen/creative w... Dataset:toastypigeon/springdra... Instruct Llama-factory Lora Peft Q25 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu
Q25 1.5B VeoLu 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)
Q25 1.5B VeoLu Parameters and Internals
| LLM Name | Q25 1.5B VeoLu |
| Repository 🤗 | https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 1.5b |
| Required VRAM | 3.5 GB |
| Updated | 2025-02-05 |
| Maintainer | Alfitaria |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | q25 |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| LoRA Model | Yes |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Q25 1.5B VeoLu
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ....5 1.5B Instruct SMPO MLX 4bit | 32K / 0.9 GB | 17 | 2 |
| FastApply 1.5B V1.0 | 32K / 3.1 GB | 8215 | 19 |
| ....5 1.5B Instruct SMPO MLX 8bit | 32K / 1.6 GB | 13 | 2 |
| Qwen2.5 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 14039 | 1 |
| Athena 1 1.5B | 32K / 3.1 GB | 339 | 0 |
| ...5 Coder 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 3020 | 1 |
| ...024 Qwen2.5 1.5B Instruct 1106 | 32K / 3.1 GB | 89 | 0 |
| Qwen2 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 1748 | 1 |
| ... 1.5B Instruct Replete Adapted | 32K / 3.1 GB | 686 | 2 |
| ...B Instruct MoE Assistant 16bit | 32K / 3.1 GB | 58 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Alfitaria/Q25-1.5B-VeoLu .
Rank the Q25 1.5B VeoLu Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227