Qwen2.5 1.5B Instruct EmbodiedZero SFT by jonatatyska

 ยป  All LLMs  ยป  jonatatyska  ยป  Qwen2.5 1.5B Instruct EmbodiedZero SFT   URL Share it on

  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Trl

Qwen2.5 1.5B Instruct EmbodiedZero SFT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Instruct EmbodiedZero SFT (jonatatyska/Qwen2.5-1.5B-Instruct-EmbodiedZero-SFT)

Qwen2.5 1.5B Instruct EmbodiedZero SFT Parameters and Internals

LLM NameQwen2.5 1.5B Instruct EmbodiedZero SFT
Repository ๐Ÿค—https://huggingface.co/jonatatyska/Qwen2.5-1.5B-Instruct-EmbodiedZero-SFT 
Model NameQwen2.5-1.5B-Instruct-EmbodiedZero-SFT
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-30
Maintainerjonatatyska
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 1.5B Instruct EmbodiedZero SFT

Best Alternatives
Context / RAM
Downloads
Likes
Gte Qwen2 1.5B Instruct128K / 7.1 GB235975206
AceInstruct 1.5B128K / 3.5 GB6520
... Abliterated TIES Qwen2.5 1.5B128K / 3.5 GB70
Saba1 1.8B128K / 3.6 GB141
Pictor 1338 QwenP 1.5B128K / 7.1 GB450
Bellatrix 1.5B XElite128K / 3.5 GB183
WiroAI Finance Qwen 1.5B128K / 3.5 GB39018
Deepthink 1.5B Open PRM128K / 7.1 GB150
Miniclaus Qw1.5B UNAMGS128K / 3.5 GB108
...pmath Competitive 1.5B Preview128K / 7.1 GB100
Note: green Score (e.g. "73.2") means that the model is better than jonatatyska/Qwen2.5-1.5B-Instruct-EmbodiedZero-SFT.

Rank the Qwen2.5 1.5B Instruct EmbodiedZero SFT Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 46860 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227