What are the hardware requirements for AmberChat GGUF?

AmberChat GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AmberChat GGUF and how large is it?

AmberChat GGUF is developed by TheBloke. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate AmberChat GGUF?

AmberChat GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AmberChat GGUF by TheBloke — VRAM 2.8GB

Name: AmberChat GGUF
Author: TheBloke

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: 0.1.

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 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 Name	AmberChat GGUF
Repository 🤗	https://huggingface.co/TheBloke/AmberChat-GGUF
Model Name	AmberChat
Model Creator	LLM360
Base Model(s)	AmberChat LLM360/AmberChat
Required VRAM	2.8 GB
Updated	2026-07-12
Maintainer	TheBloke
Model Type	amber
Instruction-Based	Yes
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 Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the AmberChat GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to AmberChat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Phi 3 Mini 4K Instruct	0K / 2.3 GB	22	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dre Phi Gguf	0K / 2.3 GB	9	0

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