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AmberChat GGUF by TheBloke

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AmberChat GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 2.8GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  Amber   Base model:llm360/amberchat Base model:quantized:llm360/am... Dataset:icybee/share gpt 90k v... Dataset:wizardlm/wizardlm evol...   En   Gguf   Instruct   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/AmberChat-GGUF 

AmberChat GGUF Benchmarks

LLME Score: 0.11318
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AmberChat GGUF (TheBloke/AmberChat-GGUF)
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AmberChat GGUF Parameters and Internals

Model Type 
amber
Supported Languages 
en ()
Training Details 
Data Sources:
WizardLM/WizardLM_evol_instruct_V2_196k, icybee/share_gpt_90k_v1
Data Volume:
233k total rows
Context Length:
2048
Model Architecture:
Language model with LLaMA-7B architecture
Input Output 
Input Format:
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:
LLM NameAmberChat GGUF
Repository 🤗https://huggingface.co/TheBloke/AmberChat-GGUF 
Model NameAmberChat
Model CreatorLLM360
Base Model(s)  AmberChat   LLM360/AmberChat
Required VRAM2.8 GB
Updated2026-03-30
MaintainerTheBloke
Model Typeamber
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB155417
Spydaz Web AI 0K / 4.4 GB1543
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Dolphin 2 6 Phi 2 GGUF0K / 1.2 GB351674
Phi 3 Mini 4K Instruct0K / 2.3 GB80
...3 Mini 4k OLScience 4bitQ Gguf0K / 2.3 GB130
Dre Phi Gguf0K / 2.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AmberChat-GGUF.

Rank the AmberChat GGUF 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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