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Mithril Thinker Llama 70B by TareksLab

By TareksLab · 17 downloads

Mithril Thinker Llama 70B is an open-source language model by TareksLab. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2311.03099 Base model:deepcogito/cogito-v... Base model:deepseek-ai/deepsee... Base model:meta-llama/llama-3.... Base model:nvidia/llama-3.1-ne... Base model:watt-ai/watt-tool-7...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Mithril Thinker Llama 70B Parameters and Internals

LLM NameMithril Thinker Llama 70B
Repository πŸ€—https://huggingface.co/TareksLab/Mithril-Thinker-Llama-70B 
Base Model(s)  Cogito V1 Preview Llama 70B   Watt Tool 70B   DeepSeek R1 Distill Llama 70B   nvidia/Llama-3.1-Nemotron-70B-Instruct-HF   meta-llama/Llama-3.3-70B-Instruct   deepcogito/cogito-v1-preview-llama-70B   watt-ai/watt-tool-70B   deepseek-ai/DeepSeek-R1-Distill-Llama-70B   nvidia/Llama-3.1-Nemotron-70B-Instruct-HF   meta-llama/Llama-3.3-70B-Instruct
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2026-08-04
MaintainerTareksLab
Model Typellama
Instruction-BasedYes
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 ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.55.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TareksLab/Mithril-Thinker-Llama-70B.