ChatAllInOne Yi 34B 200K V1 By DrNicefellow: Benchmarks, Features and Detailed Analysis. Insights on ChatAllInOne Yi 34B 200K V1.

Autotrain compatible Dataset:drnicefellow/chat-all-... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

ChatAllInOne Yi 34B 200K V1 Benchmarks

ARC: 65.96^-31.5%

HellaSwag: 84.58^-11.2%

MMLU: 73.95^-14.5%

TruthfulQA: 56.82^-3.7%

WinoGrande: 82.48^-5.7%

GSM8K: 59.51^-35.3%

^nn.n% — How the model compares to the GPT-4.

ChatAllInOne Yi 34B 200K V1 Parameters and Internals

LLM Name	ChatAllInOne Yi 34B 200K V1
Repository	Open on 🤗
Model Size	34b
Required VRAM	69.2 GB
Updated	2024-07-27
Maintainer	DrNicefellow
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

ChatAllInOne Yi 34B 200K V1 (DrNicefellow/ChatAllInOne-Yi-34B-200K-V1)

Quantized Models of the ChatAllInOne Yi 34B 200K V1

Model	Likes	Downloads	VRAM
...atAllInOne Yi 34B 200K V1 GGUF	0	94	12 GB

Best Alternatives to ChatAllInOne Yi 34B 200K V1

Best Alternatives	HF Rank	Context/RAM	Downloads	Likes
Yi 34B 200K	0.3	195K / 68.9 GB	5247	313
Smaug 34B V0.1	0.3	195K / 69.2 GB	3185	58
Yi 34B 200K AEZAKMI V2	0.3	195K / 69.2 GB	948	12
Smaug 34B V0.1 ExPO	0.3	195K / 69.2 GB	2085	0
Faro Yi 34B	0.3	195K / 69.2 GB	2748	6
Bagel DPO 34B V0.5	0.3	195K / 68.7 GB	1861	17
Nous Capybara 34B	0.3	195K / 68.9 GB	6259	242
Yi 34B 200K HESOYAM 0905	0.3	195K / 69.2 GB	240	0
Bagel DPO 34B V0.2	0.3	195K / 69.2 GB	2769	97
34B Beta	0.3	195K / 69.2 GB	1221	59

Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/ChatAllInOne-Yi-34B-200K-V1.

Rank the ChatAllInOne Yi 34B 200K 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
Code Generation
Multi-Language Support and Translation

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

Release v2024072501

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