diff --git a/core/gallery/minicpm_ocr_entries_test.go b/core/gallery/minicpm_ocr_entries_test.go
new file mode 100644
index 0000000000..25d489b150
--- /dev/null
+++ b/core/gallery/minicpm_ocr_entries_test.go
@@ -0,0 +1,125 @@
+// SPDX-License-Identifier: MIT
+package gallery_test
+
+import (
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+
+	"github.com/mudler/LocalAI/core/gallery"
+)
+
+// MiniCPM-OCR only runs as a multimodal model: the 4x projector is required,
+// and the entry must keep thinking disabled so the transcription lands in the
+// response content instead of the reasoning channel. The DSpark build adds a
+// second model file that must be named as the draft, not as a variant's
+// primary weights.
+var _ = Describe("gallery/index.yaml MiniCPM-OCR entries", func() {
+	const (
+		modelDir  = "llama-cpp/models/minicpm-ocr-1.0/"
+		mmproj    = modelDir + "mmproj-model-f16-4x.gguf"
+		mmprojSHA = "ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682"
+		q8        = modelDir + "MiniCPM-OCR-1_0-Q8_0.gguf"
+		q8SHA     = "791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2"
+		q4        = modelDir + "MiniCPM-OCR-1_0-Q4_K_M.gguf"
+		q4SHA     = "c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49"
+		dspark    = modelDir + "dspark-MiniCPM-OCR-1_0-Q8_0.gguf"
+		dsparkSHA = "fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da"
+		ocrBase   = "https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/"
+		dsparkURL = "https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/"
+	)
+
+	byName := func() map[string]gallery.GalleryModel {
+		entries, err := loadGalleryIndex()
+		Expect(err).ToNot(HaveOccurred())
+		return indexEntriesByName(entries)
+	}
+	fileByName := func(e gallery.GalleryModel, name string) (gallery.File, bool) {
+		for _, f := range e.AdditionalFiles {
+			if f.Filename == name {
+				return f, true
+			}
+		}
+		return gallery.File{}, false
+	}
+
+	It("declares the Q8, Q4_K_M and DSpark builds as one selectable family", func() {
+		entries := byName()
+		base, ok := entries["minicpm-ocr-1.0-q8"]
+		Expect(ok).To(BeTrue())
+
+		variants := make([]string, 0, len(base.Variants))
+		for _, v := range base.Variants {
+			variants = append(variants, v.Model)
+		}
+		Expect(variants).To(ConsistOf("minicpm-ocr-1.0-q4km", "minicpm-ocr-1.0-dspark"))
+
+		for _, name := range []string{"minicpm-ocr-1.0-q8", "minicpm-ocr-1.0-q4km", "minicpm-ocr-1.0-dspark"} {
+			e, ok := entries[name]
+			Expect(ok).To(BeTrue(), name)
+			Expect(e.License).To(Equal("apache-2.0"), name)
+			Expect(e.Overrides).To(HaveKeyWithValue("backend", "llama-cpp"), name)
+			Expect(e.Overrides).To(HaveKeyWithValue("context_size", 8192), name)
+			Expect(e.Overrides).To(HaveKeyWithValue("mmproj", mmproj), name)
+			Expect(e.Overrides["known_usecases"]).To(ConsistOf("chat", "vision"), name)
+
+			tmpl, ok := e.Overrides["template"].(map[string]any)
+			Expect(ok).To(BeTrue(), name)
+			Expect(tmpl).To(HaveKeyWithValue("use_tokenizer_template", true), name)
+		}
+	})
+
+	It("keeps thinking disabled and selects the expected weights", func() {
+		entries := byName()
+
+		q8Entry := entries["minicpm-ocr-1.0-q8"]
+		Expect(q8Entry.Overrides["options"]).To(ConsistOf("use_jinja:true", "enable_reasoning:0", "parallel:1"))
+		Expect(q8Entry.Overrides["parameters"]).To(HaveKeyWithValue("model", q8))
+
+		q4Entry := entries["minicpm-ocr-1.0-q4km"]
+		Expect(q4Entry.Overrides["options"]).To(ConsistOf("use_jinja:true", "enable_reasoning:0", "parallel:1"))
+		Expect(q4Entry.Overrides["parameters"]).To(HaveKeyWithValue("model", q4))
+
+		dsparkEntry := entries["minicpm-ocr-1.0-dspark"]
+		Expect(dsparkEntry.Overrides["options"]).To(ConsistOf(
+			"use_jinja:true", "enable_reasoning:0", "parallel:1", "spec_type:draft-dspark", "spec_n_max:15"))
+		Expect(dsparkEntry.Overrides).To(HaveKeyWithValue("draft_model", dspark))
+		Expect(dsparkEntry.Overrides["parameters"]).To(HaveKeyWithValue("model", q8))
+	})
+
+	It("pins every weight and projector to the published sha256", func() {
+		entries := byName()
+		want := map[string]map[string]string{
+			"minicpm-ocr-1.0-q8": {
+				q8:     q8SHA,
+				mmproj: mmprojSHA,
+			},
+			"minicpm-ocr-1.0-q4km": {
+				q4:     q4SHA,
+				mmproj: mmprojSHA,
+			},
+			"minicpm-ocr-1.0-dspark": {
+				q8:     q8SHA,
+				dspark: dsparkSHA,
+				mmproj: mmprojSHA,
+			},
+		}
+		for name, files := range want {
+			e := entries[name]
+			Expect(e.AdditionalFiles).To(HaveLen(len(files)), name)
+			for filename, sha := range files {
+				f, ok := fileByName(e, filename)
+				Expect(ok).To(BeTrue(), name+": "+filename)
+				Expect(f.SHA256).To(Equal(sha), name+": "+filename)
+			}
+		}
+
+		q8File, _ := fileByName(entries["minicpm-ocr-1.0-q8"], q8)
+		Expect(q8File.URI).To(Equal(ocrBase + "MiniCPM-OCR-1_0-Q8_0.gguf"))
+		mmprojFile, _ := fileByName(entries["minicpm-ocr-1.0-q8"], mmproj)
+		Expect(mmprojFile.URI).To(Equal(ocrBase + "mmproj-model-f16-4x.gguf"))
+		q4File, _ := fileByName(entries["minicpm-ocr-1.0-q4km"], q4)
+		Expect(q4File.URI).To(Equal(ocrBase + "MiniCPM-OCR-1_0-Q4_K_M.gguf"))
+		dsparkFile, _ := fileByName(entries["minicpm-ocr-1.0-dspark"], dspark)
+		Expect(dsparkFile.URI).To(Equal(dsparkURL + "dspark-MiniCPM-OCR-1_0-Q8_0.gguf"))
+	})
+})
diff --git a/gallery/index.yaml b/gallery/index.yaml
index 776333e318..edf40a83b0 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -31223,6 +31223,168 @@
       model: OvisOCR2-Q8_0.gguf
     template:
       use_tokenizer_template: true
+- url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  name: minicpm-ocr-1.0-q8
+  description: |
+    MiniCPM-OCR 1.0 is OpenBMB's 1.3B document-parsing model for Chinese and
+    English text, tables, formulas, charts, and seals. This entry uses the
+    official Q8_0 GGUF weights and the required F16 4x vision projector
+    through llama.cpp, with an 8,192-token default context. Prompt the model
+    with "Text Recognition:" for text, "Table Recognition:" for tables, or
+    "Formula Recognition:" for formulas. Table output is the model's OTSL
+    markup, which clients can convert to HTML.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+  icon: https://avatars.githubusercontent.com/u/89920203
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+  files:
+    - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+      sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
+    - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+  overrides:
+    backend: llama-cpp
+    context_size: 8192
+    known_usecases:
+      - chat
+      - vision
+    mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+    options:
+      - use_jinja:true
+      - enable_reasoning:0
+      - parallel:1
+    parameters:
+      model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+      temperature: 0.01
+      top_k: 1
+      top_p: 0.001
+    template:
+      use_tokenizer_template: true
+  variants:
+    - model: minicpm-ocr-1.0-q4km
+    - model: minicpm-ocr-1.0-dspark
+- url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  name: minicpm-ocr-1.0-q4km
+  description: |
+    MiniCPM-OCR 1.0 in the smaller Q4_K_M GGUF build, with the required F16
+    4x vision projector and an 8,192-token default context. Tables stay
+    lossless at this size; dense text may degrade slightly. Prompt the model
+    with "Text Recognition:" for text, "Table Recognition:" for tables, or
+    "Formula Recognition:" for formulas. Table output is the model's OTSL
+    markup, which clients can convert to HTML.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+  icon: https://avatars.githubusercontent.com/u/89920203
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+  files:
+    - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
+      sha256: c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q4_K_M.gguf
+    - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+  overrides:
+    backend: llama-cpp
+    context_size: 8192
+    known_usecases:
+      - chat
+      - vision
+    mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+    options:
+      - use_jinja:true
+      - enable_reasoning:0
+      - parallel:1
+    parameters:
+      model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
+      temperature: 0.01
+      top_k: 1
+      top_p: 0.001
+    template:
+      use_tokenizer_template: true
+- url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  name: minicpm-ocr-1.0-dspark
+  description: |
+    MiniCPM-OCR 1.0 with OpenBMB's DSpark speculative drafter. DSpark
+    proposes blocks of tokens that the target verifies, which speeds up
+    generation without changing the target model's output. This entry pairs
+    the Q8_0 target with the matching Q8_0 draft and the required F16 4x
+    vision projector, with an 8,192-token default context.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf
+  icon: https://avatars.githubusercontent.com/u/89920203
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+    - dspark
+  files:
+    - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+      sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
+    - filename: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+      sha256: fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+    - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+      uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+  overrides:
+    backend: llama-cpp
+    context_size: 8192
+    draft_model: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+    known_usecases:
+      - chat
+      - vision
+    mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+    options:
+      - use_jinja:true
+      - enable_reasoning:0
+      - parallel:1
+      - spec_type:draft-dspark
+      - spec_n_max:15
+    parameters:
+      model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+      temperature: 0.01
+      top_k: 1
+      top_p: 0.001
+    template:
+      use_tokenizer_template: true
 - url: github:mudler/LocalAI/gallery/jamba.yaml@master
   name: ai21labs_ai21-jamba-reasoning-3b
   description: |
diff --git a/gallery/models/index.yaml b/gallery/models/index.yaml
index a79d8ef548..4117e5bc1c 100644
--- a/gallery/models/index.yaml
+++ b/gallery/models/index.yaml
@@ -36648,6 +36648,192 @@
         model: OvisOCR2-Q8_0.gguf
       template:
         use_tokenizer_template: true
+- kind: model
+  id: minicpm-ocr-1.0-q8
+  name: minicpm-ocr-1.0-q8
+  version: 0.1.0
+  description: |
+    MiniCPM-OCR 1.0 is OpenBMB's 1.3B document-parsing model for Chinese and
+    English text, tables, formulas, charts, and seals. This entry uses the
+    official Q8_0 GGUF weights and the required F16 4x vision projector
+    through llama.cpp, with an 8,192-token default context. Prompt the model
+    with "Text Recognition:" for text, "Table Recognition:" for tables, or
+    "Formula Recognition:" for formulas. Table output is the model's OTSL
+    markup, which clients can convert to HTML.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+  icon: https://avatars.githubusercontent.com/u/89920203
+  channel: gallery
+  policy:
+    requireSignature: false
+  schemaVersion: 1
+  model:
+    url: github:mudler/LocalAI/gallery/virtual.yaml@master
+    files:
+      - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+        sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
+      - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+        sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+    overrides:
+      backend: llama-cpp
+      context_size: 8192
+      known_usecases:
+        - chat
+        - vision
+      mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      options:
+        - use_jinja:true
+        - enable_reasoning:0
+        - parallel:1
+      parameters:
+        model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+        temperature: 0.01
+        top_p: 0.001
+        top_k: 1
+      template:
+        use_tokenizer_template: true
+    variants:
+      - model: minicpm-ocr-1.0-q4km
+      - model: minicpm-ocr-1.0-dspark
+- kind: model
+  id: minicpm-ocr-1.0-q4km
+  name: minicpm-ocr-1.0-q4km
+  version: 0.1.0
+  description: |
+    MiniCPM-OCR 1.0 in the smaller Q4_K_M GGUF build, with the required F16
+    4x vision projector and an 8,192-token default context. Tables stay
+    lossless at this size; dense text may degrade slightly. Prompt the model
+    with "Text Recognition:" for text, "Table Recognition:" for tables, or
+    "Formula Recognition:" for formulas. Table output is the model's OTSL
+    markup, which clients can convert to HTML.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+  icon: https://avatars.githubusercontent.com/u/89920203
+  channel: gallery
+  policy:
+    requireSignature: false
+  schemaVersion: 1
+  model:
+    url: github:mudler/LocalAI/gallery/virtual.yaml@master
+    files:
+      - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
+        sha256: c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q4_K_M.gguf
+      - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+        sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+    overrides:
+      backend: llama-cpp
+      context_size: 8192
+      known_usecases:
+        - chat
+        - vision
+      mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      options:
+        - use_jinja:true
+        - enable_reasoning:0
+        - parallel:1
+      parameters:
+        model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
+        temperature: 0.01
+        top_p: 0.001
+        top_k: 1
+      template:
+        use_tokenizer_template: true
+- kind: model
+  id: minicpm-ocr-1.0-dspark
+  name: minicpm-ocr-1.0-dspark
+  version: 0.1.0
+  description: |
+    MiniCPM-OCR 1.0 with OpenBMB's DSpark speculative drafter. DSpark
+    proposes blocks of tokens that the target verifies, which speeds up
+    generation without changing the target model's output. This entry pairs
+    the Q8_0 target with the matching Q8_0 draft and the required F16 4x
+    vision projector, with an 8,192-token default context.
+  license: apache-2.0
+  urls:
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark
+    - https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - image-to-text
+    - ocr
+    - document-parsing
+    - multimodal
+    - vision
+    - minicpm
+    - dspark
+  icon: https://avatars.githubusercontent.com/u/89920203
+  channel: gallery
+  policy:
+    requireSignature: false
+  schemaVersion: 1
+  model:
+    url: github:mudler/LocalAI/gallery/virtual.yaml@master
+    files:
+      - filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+        sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
+      - filename: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+        sha256: fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+      - filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+        sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
+        uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
+    overrides:
+      backend: llama-cpp
+      context_size: 8192
+      draft_model: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
+      known_usecases:
+        - chat
+        - vision
+      mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
+      options:
+        - use_jinja:true
+        - enable_reasoning:0
+        - parallel:1
+        - spec_type:draft-dspark
+        - spec_n_max:15
+      parameters:
+        model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
+        temperature: 0.01
+        top_p: 0.001
+        top_k: 1
+      template:
+        use_tokenizer_template: true
 - kind: model
   id: ai21labs_ai21-jamba-reasoning-3b
   name: ai21labs_ai21-jamba-reasoning-3b