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Stable Code Instruct 3B AWQ by TechxGenus

 »  All LLMs  »  TechxGenus  »  Stable Code Instruct 3B AWQ   URL Share it on

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  Arxiv:2305.18290   4-bit   Autotrain compatible   Awq   Code   Conversational   En   Endpoints compatible   Instruct   Model-index   Quantized   Region:us   Safetensors   Stablelm
Model Card on HF 🤗: https://huggingface.co/TechxGenus/stable-code-instruct-3b-AWQ 

Stable Code Instruct 3B AWQ Benchmarks

LLME Score: 0.18803
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stable Code Instruct 3B AWQ (TechxGenus/stable-code-instruct-3b-AWQ)

Stable Code Instruct 3B AWQ Parameters and Internals

Model Type 
auto-regressive language model, transformer decoder
Use Cases 
Primary Use Cases:
General purpose Code/Software Engineering, SQL related generation and conversation
Limitations:
Codes for specific tasks may not execute properly if not within the model's training scope
Additional Notes 
The model can be accessed on the Stability AI's Hugging Face page for performance insights.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
publicly available datasets, synthetic datasets using Direct Preference Optimization (DPO)
Methodology:
Instruct-tuned from stable-code-3b
Model Architecture:
decoder-only language model
Input Output 
Accepted Modalities:
text
LLM NameStable Code Instruct 3B AWQ
Repository 🤗https://huggingface.co/TechxGenus/stable-code-instruct-3b-AWQ 
Model Size3b
Required VRAM1.8 GB
Updated2024-12-22
MaintainerTechxGenus
Model Typestablelm
Instruction-BasedYes
Model Files  1.8 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureStableLmForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/stable-code-instruct-3b-AWQ.

Rank the Stable Code Instruct 3B AWQ Capabilities

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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 v20241217
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