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

Granite 8B Code Instruct 4K by ibm-granite

 »  All LLMs  »  ibm-granite  »  Granite 8B Code Instruct 4K   URL Share it on

  1594   
  Arxiv:2405.04324   Autotrain compatible Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Code   Conversational   Dataset:bigcode/commitpackft Dataset:bugdaryan/sql-create-c... Dataset:garage-baind/open-plat... Dataset:glaive-function-callin... Dataset:glaiveai/glaive-code-a...   Dataset:meta-math/metamathqa   Dataset:nvidia/helpsteer   Dataset:tiger-lab/mathinstruct   Granite   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-8b-code-instruct-4k 

Granite 8B Code Instruct 4K Benchmarks

LLME Score: 0.21512
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 8B Code Instruct 4K (ibm-granite/granite-8b-code-instruct-4k)

Granite 8B Code Instruct 4K Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Code Assistance
Primary Use Cases:
Building coding assistants
Limitations:
Performance may be limited with out-of-domain programming languages
Considerations:
Providing few-shot examples can improve model performance in some cases.
Additional Notes 
Finetuned using instruction datasets to enhance code instruction abilities.
Training Details 
Data Sources:
CommitPackFT, MathInstruct, MetaMathQA, Glaive-Code-Assistant-v3, Glaive-Function-Calling-v2, NL2SQL11, Open-Platypus, HelpSteer
Methodology:
Fine-tuned for instruction following, logical reasoning, and problem-solving.
Hardware Used:
NVIDIA A100, NVIDIA H100
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and target-specific tuning before deploying these models.
LLM NameGranite 8B Code Instruct 4K
Repository 🤗https://huggingface.co/ibm-granite/granite-8b-code-instruct-4k 
Base Model(s)  Granite 8B Code Base 4K   ibm-granite/granite-8b-code-base-4k
Model Size8b
Required VRAM16.2 GB
Updated2025-03-22
Maintaineribm-granite
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.3 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16

Best Alternatives to Granite 8B Code Instruct 4K

Best Alternatives
Context / RAM
Downloads
Likes
...a 3 8B Instruct Gradient 1048K1024K / 16.1 GB5116682
P1024K / 16.1 GB1190
931024K / 16.1 GB840
1171024K / 16.1 GB330
Mpasila Viking 8B1024K / 16.1 GB840
93a1024K / 16.1 GB200
161024K / 16.1 GB1690
1261024K / 16.1 GB130
1361024K / 16.1 GB130
1331024K / 16.1 GB120
Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-8b-code-instruct-4k.

Rank the Granite 8B Code Instruct 4K 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? 45429 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