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Firefly Mixtral 8x7b by YeungNLP

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Firefly Mixtral 8x7b is an open-source language model by YeungNLP. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

  En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/YeungNLP/firefly-mixtral-8x7b 

Firefly Mixtral 8x7b Benchmarks

LLME Score: 0.12092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefly Mixtral 8x7b (YeungNLP/firefly-mixtral-8x7b)
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Firefly Mixtral 8x7b Parameters and Internals

Model Type 
text generation
Supported Languages 
en (fluent)
Training Details 
Data Sources:
ultrachat
Data Volume:
48k data
Methodology:
Fine-tuned using Firefly
Input Output 
Input Format:
Tokenized input with [INST] and [/INST] markers
Accepted Modalities:
text
Output Format:
Text response
LLM NameFirefly Mixtral 8x7b
Repository 🤗https://huggingface.co/YeungNLP/firefly-mixtral-8x7b 
Model Size46.7b
Required VRAM93.6 GB
Updated2026-04-02
MaintainerYeungNLP
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Firefly Mixtral 8x7b

Model
Likes
Downloads
VRAM
Firefly Mixtral 8x7b GGUF1045815 GB
Firefly Mixtral 8x7b AWQ2424 GB
Firefly Mixtral 8x7b GPTQ3723 GB

Best Alternatives to Firefly Mixtral 8x7b

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB4629634650
Nous Hermes 2 Mixtral 8x7B DPO32K / 93.6 GB14686451
Mixtral 8x7B V0.132K / 93.6 GB1249511799
Sensualize Mixtral Bf1632K / 93.6 GB00
Skadi Mixtral V132K / 93.5 GB00
Franziska Mixtral V132K / 93.5 GB00
Typhon Mixtral V132K / 93.4 GB00
GritLM 8x7B KTO32K / 93.6 GB82893
Smaug Mixtral V0.132K / 187.7 GB854812
XLAM 8x7b R32K / 93.6 GB6870815
Note: green Score (e.g. "73.2") means that the model is better than YeungNLP/firefly-mixtral-8x7b.

Rank the Firefly Mixtral 8x7b 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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