DiscoLM German 7B V1 By DiscoResearch: Benchmarks, Features and Detailed Analysis. Insights on DiscoLM German 7B V1.

Autotrain compatible Base model:finetune:leolm/leo-... Base model:leolm/leo-mistral-h... Chatml Conversational De Deutsch Dpo En Endpoints compatible Finetuned German Mistral Region:us Safetensors Sharded Synthetic data Tensorflow

Model Card on HF 🤗: https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1

DiscoLM German 7b V1 Benchmarks

LLME Score: 0.13873

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

What is the LLM Explorer Rank (Score)

DiscoLM German 7B V1 (DiscoResearch/DiscoLM_German_7b_v1)

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DiscoLM German 7B V1 Parameters and Internals

Model Type

ChatML, DPO, German-focused

Use Cases

Areas:

Research, Commercial applications

Applications:

Chatbot, Translation, Text generation

Primary Use Cases:

German-focused applications

Limitations:

Complex reasoning, Math, Coding tasks

Considerations:

Model can produce factually incorrect and offensive outputs.

Additional Notes

Optimized for German text with proficiency in English.

Supported Languages

de (Proficient), en (Fluent)

Training Details

Data Sources:

Public datasets, multi-turn chats, retrieval instructions, and synthetically generated instructions

Methodology:

SFT finetuning and DPO reinforcement learning

Model Architecture:

Mistral-based

Responsible Ai Considerations

Mitigation Strategies:

Ensure to implement a safety/moderation layer before deployment.

Input Output

Input Format:

ChatML

Accepted Modalities:

Text

Output Format:

Varied, includes structured outputs and retrieval format.

Performance Tips:

Use special retrieval format to improve steerability and reduce hallucinations.

LLM Name	DiscoLM German 7b V1
Repository 🤗	https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1
Base Model(s)	Leo Mistral Hessianai 7B LeoLM/leo-mistral-hessianai-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-22
Maintainer	DiscoResearch
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	de en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	bfloat16

Quantized Models of the DiscoLM German 7B V1

Model	Likes	Downloads	VRAM
DiscoLM German 7b V1 GGUF	31	1064	2 GB
DiscoLM German 7b V1 AWQ	4	43	4 GB
DiscoLM German 7b V1 GPTQ	2	18	4 GB

Best Alternatives to DiscoLM German 7B V1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	145	18
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8904	50
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8094	16
Hebrew Mistral 7B 200K	256K / 30 GB	1314	15
Astral 256K 7B V2	250K / 14.4 GB	5	0
Astral 256K 7B	250K / 14.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than DiscoResearch/DiscoLM_German_7b_v1.

Rank the DiscoLM German 7B V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241124

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