Merged Model Autotrain compatible Base model:finetune:sakalti/sj... Base model:sakalti/sjt-0.5b Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Qwen2.5-1B-Instruct
Qwen2.5 1B Instruct 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 1B Instruct Parameters and Internals
| LLM Name | Qwen2.5 1B Instruct |
| Repository 🤗 | https://huggingface.co/Sakalti/Qwen2.5-1B-Instruct |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 1b |
| Required VRAM | 2 GB |
| Updated | 2025-02-05 |
| Maintainer | Sakalti |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen2.5 1B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| PRYMMAL ECE 1B SLERP V1 | 32K / 9.7 GB | 8 | 0 |
| ECE PRYMMAL1B FT V1 | 32K / 6.2 GB | 85 | 0 |
| ECE 1B Merge PRYMMAL | 32K / 3.6 GB | 7 | 0 |
| Sailor2 1B | 32K / 2 GB | 247 | 6 |
| Sailor2 1B Chat | 32K / 2 GB | 116 | 14 |
| NanoLM 1B Instruct V2 | 4K / 2.1 GB | 22 | 0 |
| NanoLM 1B Instruct V1.1 | 4K / 2.1 GB | 5 | 0 |
Rank the Qwen2.5 1B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227