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Tigerbot 7B Sft V1 by TigerResearch

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Tigerbot 7B Sft V1 is an open-source language model by TigerResearch. Features: 7b LLM, VRAM: 16.2GB, License: apache-2.0, LLM Explorer Score: 0.08, Arc: 58.4, HellaSwag: 59.8, MMLU: 31.4, GSM8K: 12.4.

  Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1 

Tigerbot 7B Sft V1 Benchmarks

ARC: 58.4 vs 96.7 (so35)-39.6%
HellaSwag: 59.8 vs 95.3 (gpt4)-37.3%
MMLU: 31.4 vs 88.3 (so35)-64.4%
GSM8K: 12.4 vs 96.4 (so35)-87.1%
OpenCompas: 39 vs 73.3 (gpt4)-46.8%
Exam: 38.5 vs 77.2 (gpt4)-50.1%
Language: 39.6 vs 62 (gpt4)-36.1%
Knowledge: 41.4 vs 73.5 (gpt4)-43.7%
Understand: 42.1 vs 70 (gpt4)-39.9%
Reasoning: 37.1 vs 74.4 (gpt4)-50.1%
LLME Score: 0.07841
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tigerbot 7B Sft V1 (TigerResearch/tigerbot-7b-sft-v1)
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Tigerbot 7B Sft V1 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is intended for text generation tasks, and offers customization options via Hugging Face.
Input Output 
Input Format:
{instruction}
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Adjust 'top_p' and 'temperature' for better performance.
LLM NameTigerbot 7B Sft V1
Repository 🤗https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1 
Model Size7b
Required VRAM16.2 GB
Updated2026-04-20
MaintainerTigerResearch
Model Typebloom
Model Files  10.0 GB: 1-of-2   6.2 GB: 2-of-2
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.28.1
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250682
Torch Data Typefloat16

Quantized Models of the Tigerbot 7B Sft V1

Model
Likes
Downloads
VRAM
Tigerbot 7B Sft V1 4bit675 GB

Best Alternatives to Tigerbot 7B Sft V1

Best Alternatives
Context / RAM
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Likes
Yayi 7B0K / 28.2 GB88330
Gogpt 7B Bloom0K / 32.3 GB8113
...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
Phoenix Inst Chat 7B0K / 16.2 GB85043
Vietcuna 7B 2k50K / 14.2 GB150
Bloom Xp30K / 32.4 GB50
Vietcuna 7B V30K / 14.2 GB88
Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-7b-sft-v1.

Rank the Tigerbot 7B Sft V1 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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