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Malaysian Mistral 7B 32K Instructions V4 Marlin by mesolitica

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors

Malaysian Mistral 7B 32K Instructions V4 Marlin Benchmarks

LLME Score: 0.20512
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Malaysian Mistral 7B 32K Instructions V4 Marlin Parameters and Internals

LLM NameMalaysian Mistral 7B 32K Instructions V4 Marlin
Repository 🤗https://huggingface.co/mesolitica/malaysian-mistral-7b-32k-instructions-v4-marlin 
Model Size7b
Required VRAM4.1 GB
Updated2024-10-18
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Malaysian Mistral 7B 32K Instructions V4 Marlin (mesolitica/malaysian-mistral-7b-32k-instructions-v4-marlin)

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Note: green Score (e.g. "73.2") means that the model is better than mesolitica/malaysian-mistral-7b-32k-instructions-v4-marlin.

Rank the Malaysian Mistral 7B 32K Instructions V4 Marlin Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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