Model Card on HF 🤗: https://huggingface.co/jinaai/reader-lm-1.5b
Reader Lm 1.5B 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)
Reader Lm 1.5B Parameters and Internals
| Model Type |
| ||||||
| Training Details |
|
| LLM Name | Reader Lm 1.5B |
| Repository 🤗 | https://huggingface.co/jinaai/reader-lm-1.5b |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2024-12-21 |
| Maintainer | jinaai |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 256000 |
| Model Max Length | 256000 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Reader Lm 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 1.5B | 128K / 3.1 GB | 260281 | 47 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 317783 | 180 |
| Qwen2 1.5B | 128K / 3.1 GB | 30568 | 82 |
| Saba1 1.8B | 128K / 3.6 GB | 315 | 0 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 54016 | 144 |
| Miniclaus Qw1.5B UNAMGS | 128K / 3.5 GB | 185 | 8 |
| Saba1.5 Pro | 128K / 3.1 GB | 279 | 2 |
| Merging LLM | 128K / 6.2 GB | 50 | 0 |
| Model 4 | 128K / 3.6 GB | 310 | 0 |
| Qwen2.5 1.5B Continuous Learnt | 128K / 6.2 GB | 29 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jinaai/reader-lm-1.5b .
Rank the Reader Lm 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217