Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b Conversational Dataset:allura-org/celeste-1.x... Dataset:anthracite-org/kalo-op... Dataset:cognitivecomputations/... Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-... Dataset:gryphe/chatgpt-4o-writ... Dataset:gryphe/sonnet3.5-charc... Dataset:gryphe/sonnet3.5-slimo... Dataset:nopm/opus writingstruc... Dataset:nothingiisreal/reddit-... En Endpoints compatible Generated from trainer Instruct Moe Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0
EVA Qwen2.5 1.5B V0.0 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)
EVA Qwen2.5 1.5B V0.0 Parameters and Internals
| LLM Name | EVA Qwen2.5 1.5B V0.0 |
| Repository 🤗 | https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0 |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-03-12 |
| Maintainer | EVA-UNIT-01 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to EVA Qwen2.5 1.5B V0.0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| AceInstruct 1.5B | 128K / 3.5 GB | 440 | 19 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 560679 | 182 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 110 | 12 |
| WiroAI Finance Qwen 1.5B | 128K / 3.5 GB | 1338 | 9 |
| ... Abliterated TIES Qwen2.5 1.5B | 128K / 3.5 GB | 29 | 0 |
| Miniclaus Qw1.5B UNAMGS | 128K / 3.5 GB | 194 | 8 |
| Saba1 1.8B | 128K / 3.6 GB | 40 | 1 |
| Replete Coder Qwen2 1.5B | 128K / 3.1 GB | 233 | 23 |
| Qwen2 1.5B Instruct Refine | 128K / 3.1 GB | 177 | 0 |
| Samantha Qwen2 1.5B | 128K / 3.1 GB | 67 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0 .
Rank the EVA Qwen2.5 1.5B V0.0 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? 44887 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227