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Casperhansen Mixtral Instruct AWQ Clone Dec23 by JAdeojo

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Casperhansen Mixtral Instruct AWQ Clone Dec23 is an open-source language model by JAdeojo. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23 

Casperhansen Mixtral Instruct AWQ Clone Dec23 Benchmarks

LLME Score: 0.11505
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Casperhansen Mixtral Instruct AWQ Clone Dec23 (JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23)
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Casperhansen Mixtral Instruct AWQ Clone Dec23 Parameters and Internals

LLM NameCasperhansen Mixtral Instruct AWQ Clone Dec23
Repository 🤗https://huggingface.co/JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23 
Model Size6.5b
Required VRAM24.7 GB
Updated2025-09-23
MaintainerJAdeojo
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Casperhansen Mixtral Instruct AWQ Clone Dec23

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Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB1181458
...Instruct V0.1 LimaRP ZLoss AWQ32K / 24.7 GB141
Dolphin 2.5 Mixtral 8x7b AWQ32K / 24.7 GB616
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB716
...nstruct V0.1 AQLM 2Bit 1x16 Hf32K / 13.1 GB1119
...uct V0.1 OmniQuantv1 W4a16g12832K / 24.7 GB51
Note: green Score (e.g. "73.2") means that the model is better than JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23.

Rank the Casperhansen Mixtral Instruct AWQ Clone Dec23 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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