Model Card on HF 🤗: https://huggingface.co/jinaai/ReaderLM-v2
ReaderLM 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)
ReaderLM V2 Parameters and Internals
| LLM Name | ReaderLM V2 |
| Repository 🤗 | https://huggingface.co/jinaai/ReaderLM-v2 |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-07-24 |
| Maintainer | jinaai |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 512768 |
| Model Max Length | 512768 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to ReaderLM V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 1.5B | 250K / 3.1 GB | 1181 | 600 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 975233 | 1274 |
| ...n Research Reasoning Qwen 1.5B | 128K / 3.5 GB | 12789 | 177 |
| OpenReasoning Nemotron 1.5B | 128K / 3.1 GB | 1384 | 27 |
| DeepScaleR 1.5B Preview | 128K / 7.1 GB | 81116 | 568 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 451421 | 110 |
| AceInstruct 1.5B | 128K / 3.5 GB | 17216 | 20 |
| Qwen2 1.5B | 128K / 3.1 GB | 120782 | 94 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 581890 | 211 |
| OpenMath Nemotron 1.5B | 128K / 3.1 GB | 3544 | 24 |
Note: green Score (e.g. "73.2") means that the model is better than jinaai/ReaderLM-v2 .
Rank the ReaderLM V2 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 50035 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124