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XDAN L1 Chat RL V1 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:xdan-ai/x... Base model:xdan-ai/xdan-l1-cha...   Dataset:intel/orca dpo pairs   Dataset:open-orca/openorca   Dpo   En   Gptq   Mistral   Openorca   Quantized   Region:us   Safetensors   Self-think   Xdan-ai
Model Card on HF 🤗: https://huggingface.co/TheBloke/xDAN-L1-Chat-RL-v1-GPTQ 

XDAN L1 Chat RL V1 GPTQ Benchmarks

LLME Score: 0.1253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XDAN L1 Chat RL V1 GPTQ (TheBloke/xDAN-L1-Chat-RL-v1-GPTQ)
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XDAN L1 Chat RL V1 GPTQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
Humanalities, Coding, Writing
Additional Notes 
The first top model which is performance at Humanalities, Coding, and Writing with 7b.
Supported Languages 
en (high)
Training Details 
Data Sources:
Open-Orca/OpenOrca, Intel/orca_dpo_pairs, Privately Crafted Dataset
Methodology:
1. SFT with Mixed dataset from OpenOrca 2. The Next DPO dataset made by xDAN-AI 3. The Next DPO Training method by xDAN-AI
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
LLM NameXDAN L1 Chat RL V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/xDAN-L1-Chat-RL-v1-GPTQ 
Model NamexDAN L1 Chat RL v1
Model CreatorxDAN-AI
Base Model(s)  xDAN-AI/xDAN-L1-Chat-RL-v1   xDAN-AI/xDAN-L1-Chat-RL-v1
Model Size1.2b
Required VRAM4.2 GB
Updated2025-11-08
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
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/xDAN-L1-Chat-RL-v1-GPTQ.

Rank the XDAN L1 Chat RL V1 GPTQ 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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