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AlphaMonarch 7B 2bit HQQ by mlabonne

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  2bit   Autoquant   Autotrain compatible Base model:finetune:mlabonne/n... Base model:mlabonne/neuralmona...   Conversational   Dpo   En   Endpoints compatible   Hqq   Lazymergekit   Merge   Mistral   Model-index   Quantized   Region:us   Rlhf

AlphaMonarch 7B 2bit HQQ Benchmarks

LLME Score: 0.20606
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

AlphaMonarch 7B 2bit HQQ Parameters and Internals

LLM NameAlphaMonarch 7B 2bit HQQ
Repository 🤗https://huggingface.co/mlabonne/AlphaMonarch-7B-2bit-HQQ 
Base Model(s)  NeuralMonarch 7B   mlabonne/NeuralMonarch-7B
Model Size7b
Required VRAM2.4 GB
Updated2024-09-16
Maintainermlabonne
Model Typemistral
Model Files  2.4 GB
Supported Languagesen
Quantization Type2bit
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
AlphaMonarch 7B 2bit HQQ (mlabonne/AlphaMonarch-7B-2bit-HQQ)

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...istral Nemo Base 2407 Bnb 4bit1000K / 8.3 GB106979
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...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB301
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB111
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB2497112
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB4611
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB50
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB5684914
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1642429
Mistral V0.3 7B ORPO32K / 14.5 GB801
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/AlphaMonarch-7B-2bit-HQQ.

Rank the AlphaMonarch 7B 2bit HQQ Capabilities

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Release v2024072803
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