moxin-chat-7b-GGUF

second-state/moxin-chat-7b-GGUF

moxin-chat-7b-GGUF is a machine learning model from second-state. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…

Downloads · 30 days

262

6% of all-time downloads

All-time downloads

4.2K

Public

Repo size

155 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf77.4 GB · 100%

At a glance

License: apache-2.0
Model type: mistral
Access: Public
Created: Dec 5, 2024
Updated: Dec 12, 2024
SHA: 84eecc57

Base models

Model card

From the Hugging Face model README

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">

moxin-chat-7b-GGUF

Original Model

moxin-org/moxin-chat-7b

Run with LlamaEdge

LlamaEdge version: coming soon

Prompt template

Prompt type: moxin-chat

Prompt string

<s> [INST] {system_message}

{user_message_1} [/INST] {assistant_message_1}</s> [INST] {user_message_2} [/INST]

Reverse prompt: [INST]
Context size: 32000

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:moxin-chat-7b-Q5_K_M.gguf \
  llama-api-server.wasm \
  --model-name moxin-chat-7b \
  --prompt-template moxin-chat \
  --reverse-prompt "[INST]" \
  --ctx-size 32000

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:moxin-chat-7b-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template moxin-chat \
  --reverse-prompt "[INST]" \
  --ctx-size 32000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
moxin-chat-7b-Q2_K.gguf	Q2_K	2	3.04 GB	smallest, significant quality loss - not recommended for most purposes
moxin-chat-7b-Q3_K_L.gguf	Q3_K_L	3	4.28 GB	small, substantial quality loss
moxin-chat-7b-Q3_K_M.gguf	Q3_K_M	3	3.94 GB	very small, high quality loss
moxin-chat-7b-Q3_K_S.gguf	Q3_K_S	3	3.54 GB	very small, high quality loss
moxin-chat-7b-Q4_0.gguf	Q4_0	4	4.60 GB	legacy; small, very high quality loss - prefer using Q3_K_M
moxin-chat-7b-Q4_K_M.gguf	Q4_K_M	4	4.89 GB	medium, balanced quality - recommended
moxin-chat-7b-Q4_K_S.gguf	Q4_K_S	4	4.63 GB	small, greater quality loss
moxin-chat-7b-Q5_0.gguf	Q5_0	5	5.60 GB	legacy; medium, balanced quality - prefer using Q4_K_M
moxin-chat-7b-Q5_K_M.gguf	Q5_K_M	5	5.75 GB	large, very low quality loss - recommended
moxin-chat-7b-Q5_K_S.gguf	Q5_K_S	5	5.60 GB	large, low quality loss - recommended
moxin-chat-7b-Q6_K.gguf	Q6_K	6	6.66 GB	very large, extremely low quality loss
moxin-chat-7b-Q8_0.gguf	Q8_0	8	8.62 GB	very large, extremely low quality loss - not recommended
moxin-chat-7b-f16.gguf	f16	16	16.2 GB

Quantized with llama.cpp b4273

Type: mistral
License: apache-2.0
Created: Dec 5, 2024
Updated: Dec 12, 2024