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@@ -43,6 +43,27 @@ Both views use the same model selection and store the view, search, filter, and
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selection in the URL. Installing from Explore does not move you away from the
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catalog; the entry updates in place when the operation finishes.
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## Spark-X2.5-1.7B
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Install Spark-X2.5-1.7B with automatic selection between its Q4_K_M and Q8_0
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GGUF builds:
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```bash
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local-ai models install spark-x2.5-1.7b-q4
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```
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To select the Q8_0 build explicitly:
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```bash
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local-ai models install spark-x2.5-1.7b-q4 --variant spark-x2.5-1.7b-q8
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```
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These text-only builds use the llama.cpp backend and the embedded Jinja chat
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template. The gallery defaults to a 32,768-token context to limit memory use.
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The [source model](https://huggingface.co/XHToken/Spark-X2.5-1.7B) supports up to
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1,048,576 tokens; larger contexts require more memory. Use a current LocalAI
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llama.cpp backend with Spark-X2.5 support.
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## VRAM and download size estimates
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When browsing the gallery or importing a model by URI, LocalAI can show **estimated download size** and **estimated VRAM** for models.
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@@ -3165,6 +3165,77 @@
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- filename: llama-cpp/mmproj/qwen3.8-27b-gsq-rco/mmproj-Qwen3.8-27B-BF16.gguf
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uri: huggingface://ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/mmproj-Qwen3.8-27B-BF16.gguf
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sha256: 13cb7bebccbd04afc8f4090cb949ecf8937cdf7377c5799b1a0c594e7c0d3e16
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- &spark-x2-5-1-7b
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name: "spark-x2.5-1.7b-q4"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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variants:
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- model: spark-x2.5-1.7b-q8
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urls:
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- https://huggingface.co/XHToken/Spark-X2.5-1.7B
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- https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF
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description: |
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Spark-X2.5-1.7B is XHToken's 1.7B text model for conversation, reasoning,
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coding, and multilingual tasks. This build uses Q4_K_M GGUF weights,
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the embedded Jinja chat template, and a 32K-token default context.
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license: "apache-2.0"
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tags:
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- llm
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- gguf
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- cpu
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- gpu
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- reasoning
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- coding
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- multilingual
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last_checked: "2026-09-08"
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overrides:
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backend: llama-cpp
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context_size: 32768
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known_usecases:
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- chat
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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/spark-x2.5-1.7b/Spark-X2.5-1.7B-Q4_K_M.gguf
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temperature: 1
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top_p: 0.95
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top_k: -1
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min_p: 0
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repeat_penalty: 1
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template:
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use_tokenizer_template: true
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files:
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- filename: llama-cpp/models/spark-x2.5-1.7b/Spark-X2.5-1.7B-Q4_K_M.gguf
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uri: huggingface://XHToken/Spark-X2.5-1.7B-GGUF/Spark-X2.5-1.7B-Q4_K_M.gguf
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sha256: 902bde2522394954ac17821b3e5fd0df02defbc6944f122253f2580acf0503f4
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- !!merge <<: *spark-x2-5-1-7b
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name: "spark-x2.5-1.7b-q8"
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variants: []
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description: |
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Spark-X2.5-1.7B is XHToken's 1.7B text model for conversation, reasoning,
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coding, and multilingual tasks. This build uses Q8_0 GGUF weights,
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the embedded Jinja chat template, and a 32K-token default context.
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overrides:
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backend: llama-cpp
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context_size: 32768
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known_usecases:
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- chat
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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/spark-x2.5-1.7b/Spark-X2.5-1.7B-Q8_0.gguf
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temperature: 1
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top_p: 0.95
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top_k: -1
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min_p: 0
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repeat_penalty: 1
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template:
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use_tokenizer_template: true
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files:
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- filename: llama-cpp/models/spark-x2.5-1.7b/Spark-X2.5-1.7B-Q8_0.gguf
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uri: huggingface://XHToken/Spark-X2.5-1.7B-GGUF/Spark-X2.5-1.7B-Q8_0.gguf
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sha256: cd77c03185a834bb1162a4b7713520be5838058bfc54873645beff470bb24442
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- &qwen3-8-9b
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name: "qwen3.8-9b-q4"
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variants:
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