KafkaLM Mixtral 8x7B V0.2 DPO AWQ by doubledsbv

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KafkaLM Mixtral 8x7B V0.2 DPO AWQ is an open-source language model by doubledsbv. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, MoE, Quantized, Merged, LLM Explorer Score: 0.13.

  Merged Model   Arxiv:1910.09700   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

KafkaLM Mixtral 8x7B V0.2 DPO AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

KafkaLM Mixtral 8x7B V0.2 DPO AWQ Parameters and Internals

LLM NameKafkaLM Mixtral 8x7B V0.2 DPO AWQ
Repository 🤗https://huggingface.co/doubledsbv/KafkaLM-Mixtral-8x7B-V0.2_DPO-AWQ 
Merged ModelYes
Model Size6.5b
Required VRAM24.7 GB
Updated2025-09-23
Maintainerdoubledsbv
Model Typemixtral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.7 GB: 5-of-5
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than doubledsbv/KafkaLM-Mixtral-8x7B-V0.2_DPO-AWQ.

Rank the KafkaLM Mixtral 8x7B V0.2 DPO AWQ Capabilities

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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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Release v20260328a