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Granite 34B Code Base 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  Granite 34B Code Base 4bit   URL Share it on

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  4bit   Autotrain compatible   Code   Codegen   Dataset:bigcode/starcoderdata Dataset:codeparrot/github-code...   Dataset:math-ai/stackmathqa Dataset:open-web-math/open-web...   Endpoints compatible   Gpt bigcode   Granite   Mlx   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/granite-34b-code-base-4bit 

Granite 34B Code Base 4bit Benchmarks

LLME Score: 0.18367
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 34B Code Base 4bit (mlx-community/granite-34b-code-base-4bit)

Granite 34B Code Base 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was converted to MLX format and can be used with mlx-lm library version 0.13.0.
Training Details 
Data Sources:
codeparrot/github-code-clean, bigcode/starcoderdata, open-web-math/open-web-math, math-ai/StackMathQA
Methodology:
Converted to MLX format using mlx-lm version 0.13.0
LLM NameGranite 34B Code Base 4bit
Repository 🤗https://huggingface.co/mlx-community/granite-34b-code-base-4bit 
Base Model(s)  Granite 34B Code Base   ibm-granite/granite-34b-code-base
Model Size34b
Required VRAM18.9 GB
Updated2025-02-22
Maintainermlx-community
Model Typegpt_bigcode
Model Files  5.4 GB: 1-of-4   5.3 GB: 2-of-4   5.3 GB: 3-of-4   2.9 GB: 4-of-4
Quantization Type4bit
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16
Activation Functiongelu_pytorch_tanh

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/granite-34b-code-base-4bit.

Rank the Granite 34B Code Base 4bit 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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