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H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 by h2oai

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H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 is an open-source language model by h2oai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

  Conversational   En   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1 

H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 Benchmarks

LLME Score: 0.11859
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 (h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1)
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H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 Parameters and Internals

Model Type 
gpt, llm, large language model
Input Output 
Input Format:
prompts format
Accepted Modalities:
text
Output Format:
generated text
LLM NameH2ogpt Gm 7B Mistral Chat Sft DPO Rag V1
Repository 🤗https://huggingface.co/h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1 
Model Size7b
Required VRAM14.4 GB
Updated2025-12-23
Maintainerh2oai
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1.

Rank the H2ogpt Gm 7B Mistral Chat Sft DPO Rag V1 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  
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