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Scal Lite 60B Code by Scalai

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Scal Lite 60B Code is an open-source language model by Scalai. Features: 120b LLM, VRAM: 34.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

  8-bit   Base model:openai/gpt-oss-120b Base model:quantized:openai/gp...   Code Dataset:huggingfaceh4/codealpa...   En   Es   Gpt oss   Math   Moe   Mxfp4   Pruning   Region:us   Safetensors   Scalai   Sharded   Tensorflow   Vllm
Model Card on HF 🤗: https://huggingface.co/Scalai/scal-lite-60b-code 

Scal Lite 60B Code Benchmarks

LLME Score: 0.22999
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Scal Lite 60B Code (Scalai/scal-lite-60b-code)

Scal Lite 60B Code Parameters and Internals

LLM NameScal Lite 60B Code
Repository 🤗https://huggingface.co/Scalai/scal-lite-60b-code 
Base Model(s)  GPT Oss 120B   openai/gpt-oss-120b
Model Size120b
Required VRAM34.8 GB
Updated2026-07-15
MaintainerScalai
Model Typegpt_oss
Model Files  2.4 GB: 0-of-14   2.1 GB: 1-of-14   2.4 GB: 2-of-14   2.1 GB: 3-of-14   2.4 GB: 4-of-14   2.1 GB: 5-of-14   2.4 GB: 6-of-14   2.1 GB: 7-of-14   2.4 GB: 8-of-14   2.2 GB: 9-of-14   2.4 GB: 10-of-14   2.1 GB: 11-of-14   3.2 GB: 12-of-14   2.4 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen es
Model ArchitectureGptOssForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.55.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size201088

Best Alternatives to Scal Lite 60B Code

Best Alternatives
Context / RAM
Downloads
Likes
GPT Oss 120B128K / 65.1 GB43627535004
GPT Oss 120B128K / 65.1 GB274222
GPT Oss 120B Mxfp4 Bf16128K / 64.8 GB16532
Medical GPT OSS Swallow 120B128K / 139.8 GB473
GPT Oss Safeguard 120B128K / 65.1 GB263298
GPT Oss 120B BF16128K / 142 GB81928
GPT Oss 120B Dequantized128K / 135.6 GB19610
GPT Oss 120B MLX 8bit128K / 123.7 GB3780113
GPT Oss 120B Unsloth Bnb 4bit128K / 62.1 GB1110817
GPT Oss 120B MXFP4 Q8128K / 63.7 GB730817
Note: green Score (e.g. "73.2") means that the model is better than Scalai/scal-lite-60b-code.

Rank the Scal Lite 60B Code Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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