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Phoenix Inst Chat 7B by FreedomIntelligence

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  1947   
  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b 

Phoenix Inst Chat 7B Benchmarks

ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 63.23 vs 95.3 (gpt4)-33.7%
MMLU: 39.06 vs 88.3 (so35)-55.8%
TruthfulQA: 47.08 vs 59 (gpt4)-20.2%
WinoGrande: 62.83 vs 87.5 (gpt4)-28.2%
GSM8K: 1.29 vs 96.4 (so35)-98.7%
LLME Score: 0.1325
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phoenix Inst Chat 7B (FreedomIntelligence/phoenix-inst-chat-7b)
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Phoenix Inst Chat 7B Parameters and Internals

Model Type 
instruction following, multitask
LLM NamePhoenix Inst Chat 7B
Repository 🤗https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b 
Model Size7b
Required VRAM16.2 GB
Updated2025-08-23
MaintainerFreedomIntelligence
Model Typebloom
Model Files  3.9 GB: 1-of-5   3.9 GB: 2-of-5   4.0 GB: 3-of-5   2.3 GB: 4-of-5   2.1 GB: 5-of-5
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16

Quantized Models of the Phoenix Inst Chat 7B

Model
Likes
Downloads
VRAM
Phoenix Inst Chat 7B Int46175 GB

Best Alternatives to Phoenix Inst Chat 7B

Best Alternatives
Context / RAM
Downloads
Likes
Yayi 7B0K / 28.2 GB186830
...Qa Llama 2 7B Chat Hf Uld Loss0K / 2.2 GB50
...lama 2 7B Chat Hf Text Teacher0K / 2.2 GB50
...tral 7B Instruct V0.2 Uld Loss0K / 2.2 GB50
... 7B Instruct V0.2 Text Teacher0K / 2.2 GB50
Gogpt 7B Bloom0K / 32.3 GB18173
Vietcuna 7B 2k50K / 14.2 GB50
Bloom Xp30K / 32.4 GB50
Vietcuna 7B V30K / 14.2 GB10668
Huozi 7B Rlhf0K / 15.6 GB133
Note: green Score (e.g. "73.2") means that the model is better than FreedomIntelligence/phoenix-inst-chat-7b.

Rank the Phoenix Inst Chat 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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