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Openchat 3.5 1210 by openchat

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  Arxiv:2303.08774   Arxiv:2309.11235   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   C-rlft   Conversational Dataset:glaiveai/glaive-code-a...   Dataset:imone/openorca flan Dataset:kaist-ai/feedback-coll...   Dataset:ldjnr/capybara   Dataset:meta-math/metamathqa Dataset:openassistant/oasst to... Dataset:openchat/openchat shar...   Dataset:tiedong/goat   Dataset:tiger-lab/mathinstruct   Endpoints compatible   Mistral   Openchat   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/openchat/openchat-3.5-1210 

Openchat 3.5 1210 Benchmarks

MMLU Pro: 23.81
GPQA: 6.82
MUSR: 14.28
BBH: 23.24
IFEval: 60.37 vs 88 (so35)-31.4%
ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 84.92 vs 95.3 (gpt4)-10.9%
MMLU: 64.62 vs 88.3 (so35)-26.8%
TruthfulQA: 52.15 vs 59 (gpt4)-11.6%
WinoGrande: 80.74 vs 87.5 (gpt4)-7.7%
GSM8K: 65.96 vs 96.4 (so35)-31.6%
MATH Lvl 5: 7.85
LLME Score: 0.26638
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openchat 3.5 1210 (openchat/openchat-3.5-1210)

Openchat 3.5 1210 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
coding, chat, math reasoning
Primary Use Cases:
general question answering, math problem-solving, coding assistance
Limitations:
complex reasoning, mathematical tasks, hallucination, safety concerns
Additional Notes 
Distributed under Apache License 2.0, enabling wide usage and modification rights.
Supported Languages 
English (high), Chinese (limited <0.1% data coverage)
Training Details 
Data Sources:
openchat/openchat_sharegpt4_dataset, kaist-ai/Feedback-Collection, imone/OpenOrca_FLAN, LDJnr/Capybara, tiedong/goat, glaiveai/glaive-code-assistant, meta-math/MetaMathQA, OpenAssistant/oasst_top1_2023-08-25, TIGER-Lab/MathInstruct
Methodology:
RLFT (Reinforcement Learning from Feedback Transcription)
Context Length:
8192
Input Output 
Input Format:
Text input for tasks like coding, general Q&A, and mathematical reasoning
Accepted Modalities:
text
Output Format:
Text output reflecting task completion and responses
Performance Tips:
Enable tensor parallelism for improved performance
LLM NameOpenchat 3.5 1210
Repository 🤗https://huggingface.co/openchat/openchat-3.5-1210 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintaineropenchat
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Openchat 3.5 1210

Model
Likes
Downloads
VRAM
Openchat 3.5 1210 GGUF5115553 GB
Openchat 3.5 1210 GGUF02162 GB
Openchat 3.5 1210 GGUF01843 GB
Openchat 3.5 1210 GPTQ4854 GB
Openchat 3.5 1210 AWQ2494 GB
...10 Plotting Finetuned R32 Gguf004 GB
...5 1210 Plotting Finetuned Gguf004 GB
Openchat 3.5 1210 Code Gguf004 GB

Best Alternatives to Openchat 3.5 1210

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB462011
MegaBeam Mistral 7B 512K512K / 14.4 GB568150
SpydazWeb AI HumanAI RP512K / 14.4 GB121
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than openchat/openchat-3.5-1210.

Rank the Openchat 3.5 1210 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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Release v20241227
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