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LMCocktail 10.7B V1 AWQ by TheBloke

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LMCocktail 10.7B V1 AWQ is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 6GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2311.13534   4-bit   Awq Base model:quantized:yhyu13/lm... Base model:yhyu13/lmcocktail-1...   Conversational   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/LMCocktail-10.7B-v1-AWQ 

LMCocktail 10.7B V1 AWQ Benchmarks

LLME Score: 0.10726
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LMCocktail 10.7B V1 AWQ (TheBloke/LMCocktail-10.7B-v1-AWQ)
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LMCocktail 10.7B V1 AWQ Parameters and Internals

Model Type 
solar
Additional Notes 
The model uses a prompt template: ### System: {system_message} ### User: {prompt} ### Assistant:
LLM NameLMCocktail 10.7B V1 AWQ
Repository 🤗https://huggingface.co/TheBloke/LMCocktail-10.7B-v1-AWQ 
Model NameLMCocktail 10.7B v1
Model CreatorYu
Base Model(s)  Yhyu13/LMCocktail-10.7B-v1   Yhyu13/LMCocktail-10.7B-v1
Model Size10.7b
Required VRAM6 GB
Updated2026-05-22
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LMCocktail-10.7B-v1-AWQ.

Rank the LMCocktail 10.7B V1 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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