What are the hardware requirements for Experimental Base V1 Bf16?

Experimental Base V1 Bf16 requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Experimental Base V1 Bf16 and how large is it?

Experimental Base V1 Bf16 is developed by TareksLab, a model with 70.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Experimental Base V1 Bf16?

Experimental Base V1 Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Experimental Base V1 Bf16 by TareksLab — VRAM 141.9GB, 128K context

Name: Experimental Base V1 Bf16
Author: TareksLab

Experimental Base V1 Bf16 is an open-source language model by TareksLab. Features: 70.6b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:finetune:tareksgrav... Base model:tareksgraveyard/exp... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TareksGraveyard/Experimental-Base-V1-bf16

Experimental Base V1 Bf16 Parameters and Internals

LLM Name	Experimental Base V1 Bf16
Repository 🤗	https://huggingface.co/TareksGraveyard/Experimental-Base-V1-bf16
Base Model(s)	Experimental Base V1 TareksLab/Experimental-Base-V1
Merged Model	Yes
Model Size	70.6b
Required VRAM	141.9 GB
Updated	2026-08-06
Maintainer	TareksLab
Model Type	llama
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.0 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Experimental Base V1 Bf16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Experimental Base V1 Bf16

Best Alternatives	Context / RAM	Downloads
Computer 7	128K / 141.9 GB	208
Z MODEL2 V1 FUSED	128K / 141.9 GB	14
Z MODEL1 V1 FUSED	128K / 141.9 GB	14
Z MODEL4 V1 FUSED	128K / 141.9 GB	14
Z MODEL4 V1 FUSED	128K / 141.9 GB	14
Z MODEL2 V1 FUSED	128K / 141.9 GB	14
Z MODEL1 V1 FUSED	128K / 141.9 GB	14
Z MODEL5 V1 FUSED	128K / 141.9 GB	13
Z MODEL5 V1 FUSED	128K / 141.9 GB	13
Shi Ci V3 Robin	128K / 141.9 GB	9726

Note: green Score (e.g. "73.2") means that the model is better than TareksGraveyard/Experimental-Base-V1-bf16.