LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

DeepScaleR 1.5B 6.5bit by mlx-community

 »  All LLMs  »  mlx-community  »  DeepScaleR 1.5B 6.5bit   URL Share it on

  98   
  6-bit   Autotrain compatible Base model:agentica-org/deepsc... Base model:quantized:agentica-...   Conversational   Dataset:ai-mo/numinamath-cot Dataset:hendrycks/competition ...   Dataset:kbsdjames/omni-math Dataset:ruc-aibox/still-3-prev...   En   Endpoints compatible   Mlx   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/DeepScaleR-1.5B-6.5bit 

DeepScaleR 1.5B 6.5bit Benchmarks

LLME Score: 0.29937
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepScaleR 1.5B 6.5bit (mlx-community/DeepScaleR-1.5B-6.5bit)

DeepScaleR 1.5B 6.5bit Parameters and Internals

LLM NameDeepScaleR 1.5B 6.5bit
Repository 🤗https://huggingface.co/mlx-community/DeepScaleR-1.5B-6.5bit 
Base Model(s)  agentica-org/DeepScaleR-1.5B-Preview   agentica-org/DeepScaleR-1.5B-Preview
Model Size1.5b
Required VRAM1.4 GB
Updated2025-02-22
Maintainermlx-community
Model Typeqwen2
Model Files  1.4 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typefloat32

Best Alternatives to DeepScaleR 1.5B 6.5bit

Best Alternatives
Context / RAM
Downloads
Likes
ReaderLM V2500K / 3.5 GB26440512
Reader Lm 1.5B250K / 3.1 GB1295589
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB1075846904
DeepScaleR 1.5B Preview128K / 7.1 GB14543462
...Seek R1 Distill Qwen 1.5B ONNX128K /  GB4638651
Qwen2.5 1.5B128K / 3.1 GB50561178
AceInstruct 1.5B128K / 3.5 GB59217
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB1550610
Qwen2 1.5B128K / 3.1 GB10412288
Stella En 1.5B V5128K / 6.2 GB581890211
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepScaleR-1.5B-6.5bit.

Rank the DeepScaleR 1.5B 6.5bit 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! 🌟

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? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer