Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT is an open-source language model by vectorzhou. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.2.
Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT
Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT 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)
Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT Parameters and Internals
| LLM Name | Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT |
| Repository 🤗 | https://huggingface.co/vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-08-06 |
| Maintainer | vectorzhou |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 356750 | 231 |
| AceInstruct 1.5B | 128K / 3.5 GB | 972 | 21 |
| ... Abliterated TIES Qwen2.5 1.5B | 128K / 3.5 GB | 9 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 13 | 1 |
| Miniclaus Qw1.5B UNAMGS | 128K / 3.5 GB | 11 | 8 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 16 | 3 |
| GCIRS Reasoning 1.5B R1 | 128K / 3.5 GB | 31 | 1 |
| ...illed Scout 1.5B Instruct Gen1 | 128K / 3.5 GB | 6 | 0 |
| ...pmath Competitive 1.5B Preview | 128K / 7.1 GB | 10 | 0 |
| Deepthink 1.5B Open PRM | 128K / 7.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT .
Rank the Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT 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? 53834 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a