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ChatAllInOne-Yi-34B-200K-V1-GGUF
second-state/ChatAllInOne-Yi-34B-200K-V1-GGUF
ChatAllInOne-Yi-34B-200K-V1-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
<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…
All-time downloads
8.2K
Public
Repo size
259 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf259 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Mar 14, 2024
- Updated
- Mar 20, 2024
- SHA
- 2741d9b9
Try a prompt
Base models
Model card
From the Hugging Face model README
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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ChatAllInOne-Yi-34B-200K-V1-GGUF
Original Model
DrNicefellow/ChatAllInOne-Yi-34B-200K-V1
Run with LlamaEdge
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LlamaEdge version: coming soon
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Prompt template
-
Prompt type:
vicuna-1.1-chat -
Prompt string
USER: {prompt} ASSISTANT:
-
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Context size:
7168
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| ChatAllInOne-Yi-34B-200K-V1-Q2_K.gguf | Q2_K | 2 | 12.8 GB | smallest, significant quality loss - not recommended for most purposes |
| ChatAllInOne-Yi-34B-200K-V1-Q3_K_L.gguf | Q3_K_L | 3 | 18.1 GB | small, substantial quality loss |
| ChatAllInOne-Yi-34B-200K-V1-Q3_K_M.gguf | Q3_K_M | 3 | 16.7 GB | very small, high quality loss |
| ChatAllInOne-Yi-34B-200K-V1-Q3_K_S.gguf | Q3_K_S | 3 | 15 GB | very small, high quality loss |
| ChatAllInOne-Yi-34B-200K-V1-Q4_0.gguf | Q4_0 | 4 | 19.5 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| ChatAllInOne-Yi-34B-200K-V1-Q4_K_M.gguf | Q4_K_M | 4 | 20.7 GB | medium, balanced quality - recommended |
| ChatAllInOne-Yi-34B-200K-V1-Q4_K_S.gguf | Q4_K_S | 4 | 19.6 GB | small, greater quality loss |
| ChatAllInOne-Yi-34B-200K-V1-Q5_0.gguf | Q5_0 | 5 | 23.7 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| ChatAllInOne-Yi-34B-200K-V1-Q5_K_M.gguf | Q5_K_M | 5 | 24.3 GB | large, very low quality loss - recommended |
| ChatAllInOne-Yi-34B-200K-V1-Q5_K_S.gguf | Q5_K_S | 5 | 23.7 GB | large, low quality loss - recommended |
| ChatAllInOne-Yi-34B-200K-V1-Q6_K.gguf | Q6_K | 6 | 28.2 GB | very large, extremely low quality loss |
| ChatAllInOne-Yi-34B-200K-V1-Q8_0.gguf | Q8_0 | 8 | 36.5 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2334
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- other
- Created
- Mar 14, 2024
- Updated
- Mar 20, 2024