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SmolLM-360M-Instruct-GGUF
second-state/SmolLM-360M-Instruct-GGUF
SmolLM-360M-Instruct-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. It is set up for transformers. The card lists the license as apache-2.0.
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All-time downloads
6K
Public
Repo size
4 GB
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0
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Repo makeup
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.gguf4 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jul 25, 2024
- Updated
- Jul 29, 2024
- SHA
- 5d70b602
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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SmolLM-360M-Instruct
Original Model
HuggingFaceTB/SmolLM-360M-Instruct
Run with LlamaEdge
-
LlamaEdge version: v0.12.5 and above
-
Prompt template
-
Prompt type:
chatml -
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant
-
-
Context size:
2048 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --ctx-size 2048 \ --model-name SmolLM-360M-Instruct -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --ctx-size 2048
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| SmolLM-360M-Instruct-Q2_K.gguf | Q2_K | 2 | 219 MB | smallest, significant quality loss - not recommended for most purposes |
| SmolLM-360M-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 246 MB | small, substantial quality loss |
| SmolLM-360M-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 235 MB | very small, high quality loss |
| SmolLM-360M-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 219 MB | very small, high quality loss |
| SmolLM-360M-Instruct-Q4_0.gguf | Q4_0 | 4 | 229 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
| SmolLM-360M-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 271 MB | medium, balanced quality - recommended |
| SmolLM-360M-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 260 MB | small, greater quality loss |
| SmolLM-360M-Instruct-Q5_0.gguf | Q5_0 | 5 | 268 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
| SmolLM-360M-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 290 MB | large, very low quality loss - recommended |
| SmolLM-360M-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 283 MB | large, low quality loss - recommended |
| SmolLM-360M-Instruct-Q6_K.gguf | Q6_K | 6 | 367 MB | very large, extremely low quality loss |
| SmolLM-360M-Instruct-Q8_0.gguf | Q8_0 | 8 | 386 MB | very large, extremely low quality loss - not recommended |
| SmolLM-360M-Instruct-f16.gguf | f16 | 16 | 726 MB |
Quantized with llama.cpp b3445.
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Jul 25, 2024
- Updated
- Jul 29, 2024