Tess 34B V1.5B By migtissera: Benchmarks, Features and Detailed Analysis. Insights on Tess 34B V1.5B.

Merged Model Autotrain compatible Endpoints compatible License:other Llama Moe Pytorch Region:us Sharded

Tess 34B V1.5B Benchmarks

HF Avg Score: 70.31 vs 86.1 (GPT-4) ^-18.3%

ARC: 63.91^-33.6%

HellaSwag: 84.43^-11.4%

MMLU: 76.26^-11.8%

TruthfulQA: 53.12^-10%

WinoGrande: 81.29^-7.1%

GSM8K: 62.85^-31.7%

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

Rank the Tess 34B V1.5B 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

Tess 34B V1.5B (migtissera/Tess-34B-v1.5b)

Quantized Models of the Tess 34B V1.5B

Model	Likes	Downloads	VRAM
Tess 34B V1.5B GPTQ	7	2	18 GB
Tess 34B V1.5B GGUF	5	435	12 GB
Tess 34B V1.5B AWQ	2	2	19 GB

Best Alternatives to Tess 34B V1.5B

Best Alternatives	HF Rank	Context/RAM	Downloads	Likes
SUS Chat 34B	85.03	8K / 68.9 GB	2632	118
SUS Chat 34B GPTQ	74.6	8K / 18.6 GB	6	3
SUS Chat 34B AWQ	74.6	8K / 19.3 GB	55	9
Tess M V1.3	69.71	195K / 69.2 GB	4086	25
Yi 34B	69.42	4K / 68.9 GB	11959	1264
Blossom V3.1 Yi 34B	68.16	4K / 68.9 GB	2509	7
PlatYi 34B 200K Q FastChat	67.85	195K / 68.9 GB	2285	3
Yi 1.5 34B Chat GGUF	65.6	4K / 8.9 GB	729	4
Nontoxic Bagel 34B V0.2 GPTQ	65.5	195K / 18.6 GB	6	1
Nontoxic Bagel 34B V0.2 AWQ	65.5	195K / 19.3 GB	6	2

Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-34B-v1.5b.

Tess 34B V1.5B Parameters and Internals

LLM Name	Tess 34B V1.5B
Repository	Open on 🤗
Merged Model	Yes
Model Size	34b
Required VRAM	69.2 GB
Updated	2024-06-24
Maintainer	migtissera
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	other
Context Length	200000
Model Max Length	200000
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64002
Initializer Range	0.02
Torch Data Type	bfloat16

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Release v2024042801

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