What are the hardware requirements for Wordforger V1b LLaMa 70B?

Wordforger V1b LLaMa 70B 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 Wordforger V1b LLaMa 70B and how large is it?

Wordforger V1b LLaMa 70B is developed by TareksLab, a model with 70b 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 Wordforger V1b LLaMa 70B?

Wordforger V1b LLaMa 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wordforger V1b LLaMa 70B by TareksLab — VRAM 141.9GB, 128K context

Name: Wordforger V1b LLaMa 70B
Author: TareksLab

Wordforger V1b LLaMa 70B is an open-source language model by TareksLab. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Autotrain compatible Base model:doctor-shotgun/l3.3... Base model:eva-unit-01/eva-lla... Base model:nbeerbower/llama3.1... Base model:neversleep/lumimaid... Base model:sao10k/70b-l3.3-mhn... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TareksGraveyard/Wordforger-V1b-LLaMa-70B

Wordforger V1b LLaMa 70B Parameters and Internals

LLM Name	Wordforger V1b LLaMa 70B
Repository 🤗	https://huggingface.co/TareksGraveyard/Wordforger-V1b-LLaMa-70B
Base Model(s)	nbeerbower/Llama3.1-Gutenberg-Doppel-70B EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 Sao10K/70B-L3.3-mhnnn-x1 NeverSleep/Lumimaid-v0.2-70B Doctor-Shotgun/L3.3-70B-Magnum-v4-SE nbeerbower/Llama3.1-Gutenberg-Doppel-70B EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 Sao10K/70B-L3.3-mhnnn-x1 NeverSleep/Lumimaid-v0.2-70B Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-05-24
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	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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