AmberChat AWQ by TheBloke

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AmberChat AWQ is an open-source language model by TheBloke. Features: 6.7b LLM, VRAM: 3.9GB, Context: 2K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Awq   Base model:llm360/amberchat Base model:quantized:llm360/am... Dataset:icybee/share gpt 90k v... Dataset:wizardlm/wizardlm evol...   En   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/AmberChat-AWQ 

AmberChat AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AmberChat AWQ (TheBloke/AmberChat-AWQ)
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AmberChat AWQ Parameters and Internals

LLM NameAmberChat AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/AmberChat-AWQ 
Model NameAmberChat
Model CreatorLLM360
Base Model(s)  AmberChat   LLM360/AmberChat
Model Size6.7b
Required VRAM3.9 GB
Updated2026-04-10
MaintainerTheBloke
Model Typeamber
Instruction-BasedYes
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
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the AmberChat AWQ Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20260328a