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Frostwind 10.7B V1 GPTQ by TheBloke

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  4-bit Base model:quantized:sao10k/fr... Base model:sao10k/frostwind-10...   En   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Frostwind-10.7B-v1-GPTQ 

Frostwind 10.7B V1 GPTQ Benchmarks

LLME Score: 0.12399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Frostwind 10.7B V1 GPTQ (TheBloke/Frostwind-10.7B-v1-GPTQ)
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Frostwind 10.7B V1 GPTQ Parameters and Internals

Model Type 
solar
Additional Notes 
Finetune of upstage/SOLAR-10.7B-v1.0.
Training Details 
Data Sources:
Coding, Instruct, Generalised Data, Roleplay, Dealignment
Data Volume:
52K varied samples
Training Time:
Roughly 3 Hours
Hardware Used:
4x 4090s
Input Output 
Input Format:
Instruction: {prompt}
Accepted Modalities:
text
Output Format:
Response: {text}
LLM NameFrostwind 10.7B V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Frostwind-10.7B-v1-GPTQ 
Model NameFrostwind 10.7B V1
Model CreatorSaofiq
Base Model(s)  Sao10K/Frostwind-10.7B-v1   Sao10K/Frostwind-10.7B-v1
Model Size10.7b
Required VRAM6 GB
Updated2026-02-03
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

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Instruction Following and Task Automation  
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