LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Zephyr 7B Beta 128K by CallComply

 »  All LLMs  »  CallComply  »  Zephyr 7B Beta 128K   URL Share it on

  14   

Zephyr 7B Beta 128K is an open-source language model by CallComply. Features: 7b LLM, VRAM: 14.4GB, Context: 128K, License: mit, LLM Explorer Score: 0.14, Arc: 58.3, HellaSwag: 81, MMLU: 53.6, GSM8K: 13.

  Arxiv:2305.18290   Arxiv:2310.16944 Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Generated from trainer   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CallComply/zephyr-7b-beta-128k 

Zephyr 7B Beta 128K Benchmarks

ARC: 58.28 vs 96.7 (so35)-39.7%
HellaSwag: 81 vs 95.3 (gpt4)-15%
MMLU: 53.57 vs 88.3 (so35)-39.3%
GSM8K: 13.04 vs 96.4 (so35)-86.5%
LLME Score: 0.13572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Beta 128K (CallComply/zephyr-7b-beta-128k)
🌟 Advertise your project 🚀

Zephyr 7B Beta 128K Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model can produce problematic outputs when prompted as it is not aligned with human preferences for safety.
Supported Languages 
primary (English)
Training Details 
Data Sources:
UltraChat dataset, openbmb/UltraFeedback
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
7B parameter GPT-like model
Input Output 
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
7B
Notes:
Zephyr-7B-β is the second model in the Zephyr series and demonstrates improved performance using Direct Preference Optimization.
LLM NameZephyr 7B Beta 128K
Repository 🤗https://huggingface.co/CallComply/zephyr-7b-beta-128k 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2026-05-13
MaintainerCallComply
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Zephyr 7B Beta 128K

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
MegaBeam Mistral 7B 512K512K / 14.4 GB862354
SpydazWeb AI HumanAI RP512K / 14.4 GB241
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB813117
Hebrew Mistral 7B 200K256K / 30 GB137815
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than CallComply/zephyr-7b-beta-128k.

Rank the Zephyr 7B Beta 128K 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  

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer