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Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ by TheBloke

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Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 23.8GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit Base model:brillibits/instruct... Base model:quantized:brillibit...   Conversational Dataset:databricks/databricks-...   Gptq   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-GPTQ 

Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ Benchmarks

LLME Score: 0.10943
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ (TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-GPTQ)
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Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ Parameters and Internals

Model Type 
mixtral, auto-regressive language model
Training Details 
Data Sources:
Dolly15K
Methodology:
Trained for 1.0 epochs using QLora with 1024 context window
Context Length:
1024
Model Architecture:
Llama 2 transformer
Input Output 
Input Format:
{prompt} Output:
LLM NameInstruct Mixtral 8x7B V0.1 Dolly15K GPTQ
Repository 🤗https://huggingface.co/TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-GPTQ 
Model NameInstruct Mixtral 8X7B V0.1 Dolly15K
Model CreatorBrillibits
Base Model(s)  Brillibits/Instruct_Mixtral-8x7B-v0.1_Dolly15K   Brillibits/Instruct_Mixtral-8x7B-v0.1_Dolly15K
Model Size46.7b
Required VRAM23.8 GB
Updated2026-04-26
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-GPTQ.

Rank the Instruct Mixtral 8x7B V0.1 Dolly15K GPTQ 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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