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AmberChat by LLM360

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AmberChat is an open-source language model by LLM360. Features: 6.7b LLM, VRAM: 13.5GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15, Arc: 42.9, HellaSwag: 74, MMLU: 38.8, GSM8K: 5.5.

  Arxiv:2312.06550 Dataset:icybee/share gpt 90k v... Dataset:wizardlm/wizardlm evol...   Deploy:azure   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLM360/AmberChat 

AmberChat Benchmarks

ARC: 42.92 vs 96.7 (so35)-55.6%
HellaSwag: 74.01 vs 95.3 (gpt4)-22.3%
MMLU: 38.75 vs 88.3 (so35)-56.1%
GSM8K: 5.53 vs 96.4 (so35)-94.3%
LLME Score: 0.14689
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AmberChat (LLM360/AmberChat)
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AmberChat Parameters and Internals

Model Type 
Language model
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Instruction following
Supported Languages 
en (proficient)
Training Details 
Data Sources:
WizardLM/WizardLM_evol_instruct_V2_196k, icybee/share_gpt_90k_v1
Context Length:
2048
Model Architecture:
LLaMA-7B
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
LLM NameAmberChat
Repository 🤗https://huggingface.co/LLM360/AmberChat 
Model Size6.7b
Required VRAM13.5 GB
Updated2026-05-26
MaintainerLLM360
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the AmberChat

Model
Likes
Downloads
VRAM
AmberChat GGUF23922 GB
AmberChat GPTQ1153 GB
AmberChat AWQ173 GB

Best Alternatives to AmberChat

Best Alternatives
Context / RAM
Downloads
Likes
Speechless Coder Ds 6.7B16K / 13.5 GB10287
...s Coder6.7b Reflct Adamw Iter116K / 13.5 GB4750
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB950
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB1100
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB870
...ir4 Ds Coder6.7b Rmsprop Iter116K / 13.5 GB430
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB900
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB620
Ds Coder6.7b Rmsprop Iter116K / 13.5 GB670
Datascience Coder 6.7B16K / 13.5 GB21214
Note: green Score (e.g. "73.2") means that the model is better than LLM360/AmberChat.

Rank the AmberChat 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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