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Dreamgen Opus V1.2 7B AWQ 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Dreamgen Opus V1.2 7B AWQ 4bit Smashed   URL Share it on

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  4-bit   4bit   Autotrain compatible   Awq Base model:dreamgen/opus-v1.2-... Base model:quantized:dreamgen/...   Conversational   Endpoints compatible   Mistral   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/dreamgen-opus-v1.2-7b-AWQ-4bit-smashed 

Dreamgen Opus V1.2 7B AWQ 4bit Smashed Benchmarks

LLME Score: 0.20121
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dreamgen Opus V1.2 7B AWQ 4bit Smashed (PrunaAI/dreamgen-opus-v1.2-7b-AWQ-4bit-smashed)

Dreamgen Opus V1.2 7B AWQ 4bit Smashed Parameters and Internals

Model Type 
compression
Additional Notes 
The model is compressed with awq. The quality of the model output might vary compared to the base model. Results were obtained on hardware described in model/smash_config.json.
LLM NameDreamgen Opus V1.2 7B AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/dreamgen-opus-v1.2-7b-AWQ-4bit-smashed 
Base Model(s)  dreamgen/opus-v1.2-7b   dreamgen/opus-v1.2-7b
Model Size7b
Required VRAM4.2 GB
Updated2025-01-22
MaintainerPrunaAI
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/dreamgen-opus-v1.2-7b-AWQ-4bit-smashed.

Rank the Dreamgen Opus V1.2 7B AWQ 4bit Smashed Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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