What are the hardware requirements for Mpt 7B 8K Chat Sharded Bf16?

Mpt 7B 8K Chat Sharded Bf16 requires approximately 13.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mpt 7B 8K Chat Sharded Bf16 and how large is it?

Mpt 7B 8K Chat Sharded Bf16 is developed by Trelis, a model with 7b 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 Mpt 7B 8K Chat Sharded Bf16?

Mpt 7B 8K Chat Sharded Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mpt 7B 8K Chat Sharded Bf16 by Trelis — VRAM 13.4GB

Name: Mpt 7B 8K Chat Sharded Bf16
Author: Trelis

Mpt 7B 8K Chat Sharded Bf16 is an open-source language model by Trelis. Features: 7b LLM, VRAM: 13.4GB, License: cc-by-nc-sa-4.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.08.

Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 Codegen Composer Custom code Ext 8k Instruct Llm-foundry Mosaicml Mpt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Trelis/mpt-7b-8k-chat-sharded-bf16

Mpt 7B 8K Chat Sharded Bf16 Parameters and Internals

Model Type

chatbot-like model, dialogue generation

Use Cases

Areas:

Research, Education, Non-commercial applications

Applications:

Chatbots, Dialogue systems

Primary Use Cases:

Generating dialogue, Chatbots

Limitations:

May provide incorrect or biased information, Unsuitable for producing truly factual data

Considerations:

Due to its nature, outputs should be verified, and caution used in certain contexts.

Training Details

Data Sources:

anon8231489123/ShareGPT_Vicuna_unfiltered, camel-ai, teknium1/GPTeacher, timdettmers/openassistant-guanaco, project-baize/baize-chatbot

Data Volume:

Several datasets with respective tokens: 26.4M, 55M, 301M, 7.56M, 15.6M, 18.4M, 821M, 297M

Context Length:

2048

Training Time:

48 minutes

Hardware Used:

192 H100s

Model Architecture:

Modified decoder-only transformer with FlashAttention, ALiBi, and no biases.

Safety Evaluation

Ethical Considerations:

Model can produce inappropriate or biased content as it was trained on various public datasets.

Input Output

Input Format:

Text-based prompts

Accepted Modalities:

text

Output Format:

Generated dialogue text

Performance Tips:

Use hardware acceleration and optimal configurations for best results, such as specific attention mechanisms like 'ALiBi' and 'FlashAttention'.

LLM Name	Mpt 7B 8K Chat Sharded Bf16
Repository 🤗	https://huggingface.co/Trelis/mpt-7b-8k-chat-sharded-bf16
Model Size	7b
Required VRAM	13.4 GB
Updated	2026-07-31
Maintainer	Trelis
Model Type	mpt
Instruction-Based	Yes
Model Files	1.9 GB: 1-of-7 1.9 GB: 2-of-7 2.0 GB: 3-of-7 1.9 GB: 4-of-7 1.9 GB: 5-of-7 1.9 GB: 6-of-7 1.9 GB: 7-of-7
Context Length	8k
Generates Code	Yes
Model Architecture	MPTForCausalLM
License	cc-by-nc-sa-4.0
Model Max Length	8192
Transformers Version	4.32.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Mpt 7B 8K Chat Sharded 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 Mpt 7B 8K Chat Sharded Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B 8K Chat Gptq	0K / 3.8 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than Trelis/mpt-7b-8k-chat-sharded-bf16.