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Amber AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq   Base model:llm360/amber Base model:quantized:llm360/am...   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Amber-AWQ 

Amber AWQ Benchmarks

LLME Score: 0.15187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Amber AWQ (TheBloke/Amber-AWQ)

Amber AWQ Parameters and Internals

Model Type 
amber, text-generation
Additional Notes 
Amber is a 7B English language model with LLaMA architecture, aiming for comprehensive and open-sourced LLM development.
Supported Languages 
English (primary)
Training Details 
Data Sources:
Arxiv, Book, C4, Refined-Web, StarCoder, StackExchange, Wikipedia
Data Volume:
1259.13 billion tokens
Context Length:
2048
Model Architecture:
LLaMA-7B architecture
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
Text-based response according to the input
LLM NameAmber AWQ
Repository 🤗https://huggingface.co/TheBloke/Amber-AWQ 
Model NameAmber
Model CreatorLLM360
Base Model(s)  Amber   LLM360/Amber
Model Size1.1b
Required VRAM3.9 GB
Updated2025-02-22
MaintainerTheBloke
Model Typeamber
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Amber-AWQ.

Rank the Amber AWQ 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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Release v20241227
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