diff --git a/Makefile b/Makefile
index 7edb6f6a..05fa4a44 100644
--- a/Makefile
+++ b/Makefile
@@ -6,9 +6,7 @@ BINARY_NAME=local-ai
 DETECT_LIBS?=true
 
 # llama.cpp versions
-GOLLAMA_REPO?=https://github.com/go-skynet/go-llama.cpp
-GOLLAMA_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
-CPPLLAMA_VERSION?=d774ab3acc4fee41fbed6dbfc192b57d5f79f34b
+CPPLLAMA_VERSION?=e6e658319952f7ad269dc11275b9edddc721fc6d
 
 # whisper.cpp version
 WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp
@@ -151,7 +149,6 @@ ifeq ($(BUILD_TYPE),hipblas)
 	LD_LIBRARY_PATH ?= /opt/rocm/lib:/opt/rocm/llvm/lib
 	export CXX=$(ROCM_HOME)/llvm/bin/clang++
 	export CC=$(ROCM_HOME)/llvm/bin/clang
-	# llama-ggml has no hipblas support, so override it here.
 	export STABLE_BUILD_TYPE=
 	export GGML_HIP=1
 	GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
@@ -188,7 +185,6 @@ ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx2
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx512
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-fallback
-ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-ggml
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-grpc
 ALL_GRPC_BACKENDS+=backend-assets/util/llama-cpp-rpc-server
 ALL_GRPC_BACKENDS+=backend-assets/grpc/whisper
@@ -222,19 +218,6 @@ endif
 
 all: help
 
-## go-llama.cpp
-sources/go-llama.cpp:
-	mkdir -p sources/go-llama.cpp
-	cd sources/go-llama.cpp && \
-	git init && \
-	git remote add origin $(GOLLAMA_REPO) && \
-	git fetch origin && \
-	git checkout $(GOLLAMA_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
-
-sources/go-llama.cpp/libbinding.a: sources/go-llama.cpp
-	$(MAKE) -C sources/go-llama.cpp BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
-
 ## bark.cpp
 sources/bark.cpp:
 	git clone --recursive $(BARKCPP_REPO) sources/bark.cpp && \
@@ -310,19 +293,17 @@ sources/whisper.cpp:
 sources/whisper.cpp/libwhisper.a: sources/whisper.cpp
 	cd sources/whisper.cpp && $(MAKE) libwhisper.a libggml.a
 
-get-sources: sources/go-llama.cpp sources/go-piper sources/stablediffusion-ggml.cpp sources/bark.cpp sources/whisper.cpp backend/cpp/llama/llama.cpp
+get-sources: sources/go-piper sources/stablediffusion-ggml.cpp sources/bark.cpp sources/whisper.cpp backend/cpp/llama/llama.cpp
 
 replace:
 	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(CURDIR)/sources/whisper.cpp
 	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp/bindings/go=$(CURDIR)/sources/whisper.cpp/bindings/go
 	$(GOCMD) mod edit -replace github.com/mudler/go-piper=$(CURDIR)/sources/go-piper
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(CURDIR)/sources/go-llama.cpp
 
 dropreplace:
 	$(GOCMD) mod edit -dropreplace github.com/ggerganov/whisper.cpp
 	$(GOCMD) mod edit -dropreplace github.com/ggerganov/whisper.cpp/bindings/go
 	$(GOCMD) mod edit -dropreplace github.com/mudler/go-piper
-	$(GOCMD) mod edit -dropreplace github.com/go-skynet/go-llama.cpp
 
 prepare-sources: get-sources replace
 	$(GOCMD) mod download
@@ -330,7 +311,6 @@ prepare-sources: get-sources replace
 ## GENERIC
 rebuild: ## Rebuilds the project
 	$(GOCMD) clean -cache
-	$(MAKE) -C sources/go-llama.cpp clean
 	$(MAKE) -C sources/whisper.cpp clean
 	$(MAKE) -C sources/go-piper clean
 	$(MAKE) build
@@ -434,7 +414,7 @@ run: prepare ## run local-ai
 test-models/testmodel.ggml:
 	mkdir test-models
 	mkdir test-dir
-	wget -q https://huggingface.co/TheBloke/orca_mini_3B-GGML/resolve/main/orca-mini-3b.ggmlv3.q4_0.bin -O test-models/testmodel.ggml
+	wget -q https://huggingface.co/RichardErkhov/Qwen_-_Qwen2-1.5B-Instruct-gguf/resolve/main/Qwen2-1.5B-Instruct.Q2_K.gguf -O test-models/testmodel.ggml
 	wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
 	wget -q https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
 	wget -q https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
@@ -449,8 +429,7 @@ test: prepare test-models/testmodel.ggml grpcs
 	export GO_TAGS="tts debug"
 	$(MAKE) prepare-test
 	HUGGINGFACE_GRPC=$(abspath ./)/backend/python/transformers/run.sh TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!llama && !llama-gguf"  --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
-	$(MAKE) test-llama
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!llama-gguf"  --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
 	$(MAKE) test-llama-gguf
 	$(MAKE) test-tts
 	$(MAKE) test-stablediffusion
@@ -479,10 +458,6 @@ teardown-e2e:
 	rm -rf $(TEST_DIR) || true
 	docker stop $$(docker ps -q --filter ancestor=localai-tests)
 
-test-llama: prepare-test
-	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
-
 test-llama-gguf: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama-gguf" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
@@ -760,13 +735,6 @@ backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc
 	mkdir -p backend-assets/util/
 	cp -rf backend/cpp/llama-grpc/llama.cpp/build/bin/rpc-server backend-assets/util/llama-cpp-rpc-server
 
-backend-assets/grpc/llama-ggml: sources/go-llama.cpp sources/go-llama.cpp/libbinding.a backend-assets/grpc
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama.cpp LIBRARY_PATH=$(CURDIR)/sources/go-llama.cpp \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama-ggml ./backend/go/llm/llama-ggml/
-ifneq ($(UPX),)
-	$(UPX) backend-assets/grpc/llama-ggml
-endif
-
 backend-assets/grpc/bark-cpp: backend/go/bark/libbark.a backend-assets/grpc
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/backend/go/bark/ LIBRARY_PATH=$(CURDIR)/backend/go/bark/ \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bark-cpp ./backend/go/bark/
diff --git a/backend/go/llm/llama-ggml/llama.go b/backend/go/llm/llama-ggml/llama.go
deleted file mode 100644
index 1a7add69..00000000
--- a/backend/go/llm/llama-ggml/llama.go
+++ /dev/null
@@ -1,204 +0,0 @@
-package main
-
-// This is a wrapper to statisfy the GRPC service interface
-// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
-import (
-	"fmt"
-
-	"github.com/go-skynet/go-llama.cpp"
-	"github.com/mudler/LocalAI/pkg/grpc/base"
-	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
-)
-
-type LLM struct {
-	base.SingleThread
-
-	llama *llama.LLama
-}
-
-func (llm *LLM) Load(opts *pb.ModelOptions) error {
-	ropeFreqBase := float32(10000)
-	ropeFreqScale := float32(1)
-
-	if opts.RopeFreqBase != 0 {
-		ropeFreqBase = opts.RopeFreqBase
-	}
-	if opts.RopeFreqScale != 0 {
-		ropeFreqScale = opts.RopeFreqScale
-	}
-
-	llamaOpts := []llama.ModelOption{
-		llama.WithRopeFreqBase(ropeFreqBase),
-		llama.WithRopeFreqScale(ropeFreqScale),
-	}
-
-	if opts.NGQA != 0 {
-		llamaOpts = append(llamaOpts, llama.WithGQA(int(opts.NGQA)))
-	}
-
-	if opts.RMSNormEps != 0 {
-		llamaOpts = append(llamaOpts, llama.WithRMSNormEPS(opts.RMSNormEps))
-	}
-
-	if opts.ContextSize != 0 {
-		llamaOpts = append(llamaOpts, llama.SetContext(int(opts.ContextSize)))
-	}
-	if opts.F16Memory {
-		llamaOpts = append(llamaOpts, llama.EnableF16Memory)
-	}
-	if opts.Embeddings {
-		llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
-	}
-	if opts.NGPULayers != 0 {
-		llamaOpts = append(llamaOpts, llama.SetGPULayers(int(opts.NGPULayers)))
-	}
-
-	llamaOpts = append(llamaOpts, llama.SetMMap(opts.MMap))
-	llamaOpts = append(llamaOpts, llama.SetMainGPU(opts.MainGPU))
-	llamaOpts = append(llamaOpts, llama.SetTensorSplit(opts.TensorSplit))
-	if opts.NBatch != 0 {
-		llamaOpts = append(llamaOpts, llama.SetNBatch(int(opts.NBatch)))
-	} else {
-		llamaOpts = append(llamaOpts, llama.SetNBatch(512))
-	}
-
-	if opts.NUMA {
-		llamaOpts = append(llamaOpts, llama.EnableNUMA)
-	}
-
-	if opts.LowVRAM {
-		llamaOpts = append(llamaOpts, llama.EnabelLowVRAM)
-	}
-
-	model, err := llama.New(opts.ModelFile, llamaOpts...)
-	llm.llama = model
-
-	return err
-}
-
-func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
-	ropeFreqBase := float32(10000)
-	ropeFreqScale := float32(1)
-
-	if opts.RopeFreqBase != 0 {
-		ropeFreqBase = opts.RopeFreqBase
-	}
-	if opts.RopeFreqScale != 0 {
-		ropeFreqScale = opts.RopeFreqScale
-	}
-	predictOptions := []llama.PredictOption{
-		llama.SetTemperature(opts.Temperature),
-		llama.SetTopP(opts.TopP),
-		llama.SetTopK(int(opts.TopK)),
-		llama.SetTokens(int(opts.Tokens)),
-		llama.SetThreads(int(opts.Threads)),
-		llama.WithGrammar(opts.Grammar),
-		llama.SetRopeFreqBase(ropeFreqBase),
-		llama.SetRopeFreqScale(ropeFreqScale),
-		llama.SetNegativePromptScale(opts.NegativePromptScale),
-		llama.SetNegativePrompt(opts.NegativePrompt),
-	}
-
-	if opts.PromptCacheAll {
-		predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
-	}
-
-	if opts.PromptCacheRO {
-		predictOptions = append(predictOptions, llama.EnablePromptCacheRO)
-	}
-
-	// Expected absolute path
-	if opts.PromptCachePath != "" {
-		predictOptions = append(predictOptions, llama.SetPathPromptCache(opts.PromptCachePath))
-	}
-
-	if opts.Mirostat != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostat(int(opts.Mirostat)))
-	}
-
-	if opts.MirostatETA != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatETA(opts.MirostatETA))
-	}
-
-	if opts.MirostatTAU != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatTAU(opts.MirostatTAU))
-	}
-
-	if opts.Debug {
-		predictOptions = append(predictOptions, llama.Debug)
-	}
-
-	predictOptions = append(predictOptions, llama.SetStopWords(opts.StopPrompts...))
-
-	if opts.PresencePenalty != 0 {
-		predictOptions = append(predictOptions, llama.SetPenalty(opts.PresencePenalty))
-	}
-
-	if opts.NKeep != 0 {
-		predictOptions = append(predictOptions, llama.SetNKeep(int(opts.NKeep)))
-	}
-
-	if opts.Batch != 0 {
-		predictOptions = append(predictOptions, llama.SetBatch(int(opts.Batch)))
-	}
-
-	if opts.F16KV {
-		predictOptions = append(predictOptions, llama.EnableF16KV)
-	}
-
-	if opts.IgnoreEOS {
-		predictOptions = append(predictOptions, llama.IgnoreEOS)
-	}
-
-	if opts.Seed != 0 {
-		predictOptions = append(predictOptions, llama.SetSeed(int(opts.Seed)))
-	}
-
-	//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
-
-	predictOptions = append(predictOptions, llama.SetFrequencyPenalty(opts.FrequencyPenalty))
-	predictOptions = append(predictOptions, llama.SetMlock(opts.MLock))
-	predictOptions = append(predictOptions, llama.SetMemoryMap(opts.MMap))
-	predictOptions = append(predictOptions, llama.SetPredictionMainGPU(opts.MainGPU))
-	predictOptions = append(predictOptions, llama.SetPredictionTensorSplit(opts.TensorSplit))
-	predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(opts.TailFreeSamplingZ))
-	predictOptions = append(predictOptions, llama.SetTypicalP(opts.TypicalP))
-	return predictOptions
-}
-
-func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
-	return llm.llama.Predict(opts.Prompt, buildPredictOptions(opts)...)
-}
-
-func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) error {
-	predictOptions := buildPredictOptions(opts)
-
-	predictOptions = append(predictOptions, llama.SetTokenCallback(func(token string) bool {
-		results <- token
-		return true
-	}))
-
-	go func() {
-		_, err := llm.llama.Predict(opts.Prompt, predictOptions...)
-		if err != nil {
-			fmt.Println("err: ", err)
-		}
-		close(results)
-	}()
-
-	return nil
-}
-
-func (llm *LLM) Embeddings(opts *pb.PredictOptions) ([]float32, error) {
-	predictOptions := buildPredictOptions(opts)
-
-	if len(opts.EmbeddingTokens) > 0 {
-		tokens := []int{}
-		for _, t := range opts.EmbeddingTokens {
-			tokens = append(tokens, int(t))
-		}
-		return llm.llama.TokenEmbeddings(tokens, predictOptions...)
-	}
-
-	return llm.llama.Embeddings(opts.Embeddings, predictOptions...)
-}
diff --git a/backend/go/llm/llama-ggml/main.go b/backend/go/llm/llama-ggml/main.go
deleted file mode 100644
index 544771db..00000000
--- a/backend/go/llm/llama-ggml/main.go
+++ /dev/null
@@ -1,19 +0,0 @@
-package main
-
-import (
-	"flag"
-
-	grpc "github.com/mudler/LocalAI/pkg/grpc"
-)
-
-var (
-	addr = flag.String("addr", "localhost:50051", "the address to connect to")
-)
-
-func main() {
-	flag.Parse()
-
-	if err := grpc.StartServer(*addr, &LLM{}); err != nil {
-		panic(err)
-	}
-}
diff --git a/core/config/backend_config.go b/core/config/backend_config.go
index 50fb2475..7d04996a 100644
--- a/core/config/backend_config.go
+++ b/core/config/backend_config.go
@@ -287,7 +287,8 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
 	defaultTopP := 0.95
 	defaultTopK := 40
 	defaultTemp := 0.9
-	defaultMirostat := 2
+	// https://github.com/mudler/LocalAI/issues/2780
+	defaultMirostat := 0
 	defaultMirostatTAU := 5.0
 	defaultMirostatETA := 0.1
 	defaultTypicalP := 1.0
diff --git a/core/http/app_test.go b/core/http/app_test.go
index ca7a2eaa..ecaf6da3 100644
--- a/core/http/app_test.go
+++ b/core/http/app_test.go
@@ -526,77 +526,6 @@ var _ = Describe("API test", func() {
 				Expect(content["usage"]).To(ContainSubstring("You can test this model with curl like this"))
 			})
 
-			It("runs openllama(llama-ggml backend)", Label("llama"), func() {
-				if runtime.GOOS != "linux" {
-					Skip("test supported only on linux")
-				}
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:       "github:go-skynet/model-gallery/openllama_3b.yaml",
-					Name:      "openllama_3b",
-					Overrides: map[string]interface{}{"backend": "llama-ggml", "mmap": true, "f16": true, "context_size": 128},
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					return response["processed"].(bool)
-				}, "360s", "10s").Should(Equal(true))
-
-				By("testing completion")
-				resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "openllama_3b", Prompt: "Count up to five: one, two, three, four, "})
-				Expect(err).ToNot(HaveOccurred())
-				Expect(len(resp.Choices)).To(Equal(1))
-				Expect(resp.Choices[0].Text).To(ContainSubstring("five"))
-
-				By("testing functions")
-				resp2, err := client.CreateChatCompletion(
-					context.TODO(),
-					openai.ChatCompletionRequest{
-						Model: "openllama_3b",
-						Messages: []openai.ChatCompletionMessage{
-							{
-								Role:    "user",
-								Content: "What is the weather like in San Francisco (celsius)?",
-							},
-						},
-						Functions: []openai.FunctionDefinition{
-							openai.FunctionDefinition{
-								Name:        "get_current_weather",
-								Description: "Get the current weather",
-								Parameters: jsonschema.Definition{
-									Type: jsonschema.Object,
-									Properties: map[string]jsonschema.Definition{
-										"location": {
-											Type:        jsonschema.String,
-											Description: "The city and state, e.g. San Francisco, CA",
-										},
-										"unit": {
-											Type: jsonschema.String,
-											Enum: []string{"celcius", "fahrenheit"},
-										},
-									},
-									Required: []string{"location"},
-								},
-							},
-						},
-					})
-				Expect(err).ToNot(HaveOccurred())
-				Expect(len(resp2.Choices)).To(Equal(1))
-				Expect(resp2.Choices[0].Message.FunctionCall).ToNot(BeNil())
-				Expect(resp2.Choices[0].Message.FunctionCall.Name).To(Equal("get_current_weather"), resp2.Choices[0].Message.FunctionCall.Name)
-
-				var res map[string]string
-				err = json.Unmarshal([]byte(resp2.Choices[0].Message.FunctionCall.Arguments), &res)
-				Expect(err).ToNot(HaveOccurred())
-				Expect(res["location"]).To(ContainSubstring("San Francisco"), fmt.Sprint(res))
-				Expect(res["unit"]).To(Equal("celcius"), fmt.Sprint(res))
-				Expect(string(resp2.Choices[0].FinishReason)).To(Equal("function_call"), fmt.Sprint(resp2.Choices[0].FinishReason))
-
-			})
-
 			It("runs openllama gguf(llama-cpp)", Label("llama-gguf"), func() {
 				if runtime.GOOS != "linux" {
 					Skip("test supported only on linux")
diff --git a/docs/content/docs/features/text-generation.md b/docs/content/docs/features/text-generation.md
index 11ab3999..342b8e76 100644
--- a/docs/content/docs/features/text-generation.md
+++ b/docs/content/docs/features/text-generation.md
@@ -124,7 +124,7 @@ Note: rwkv models needs to specify the backend `rwkv` in the YAML config files a
 
 {{% alert note %}}
 
-The `ggml` file format has been deprecated. If you are using `ggml` models and you are configuring your model with a YAML file, specify, use the `llama-ggml` backend instead. If you are relying in automatic detection of the model, you should be fine. For `gguf` models, use the `llama` backend. The go backend is deprecated as well but still available as `go-llama`. The go backend supports still features not available in the mainline: speculative sampling and embeddings.
+The `ggml` file format has been deprecated. If you are using `ggml` models and you are configuring your model with a YAML file, specify, use a LocalAI version older than v2.25.0. For `gguf` models, use the `llama` backend. The go backend is deprecated as well but still available as `go-llama`.
 
 {{% /alert %}}
 
@@ -175,25 +175,12 @@ name: llama
 backend: llama
 parameters:
   # Relative to the models path
-  model: file.gguf.bin
-```
-
-In the example above we specify `llama` as the backend to restrict loading `gguf` models only. 
-
-For instance, to use the `llama-ggml` backend for `ggml` models:
-
-```yaml
-name: llama
-backend: llama-ggml
-parameters:
-  # Relative to the models path
-  model: file.ggml.bin
+  model: file.gguf
 ```
 
 #### Reference
 
 - [llama](https://github.com/ggerganov/llama.cpp)
-- [binding](https://github.com/go-skynet/go-llama.cpp)
 
 
 ### exllama/2
diff --git a/gallery/index.yaml b/gallery/index.yaml
index 4e75e71f..4b61a0e3 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -553,6 +553,29 @@
     - filename: Black-Ink-Guild_Pernicious_Prophecy_70B-Q4_K_M.gguf
       sha256: d8d4874b837993546b750db3faf1c6e5d867883a6750f04f1f4986973d7c107b
       uri: huggingface://bartowski/Black-Ink-Guild_Pernicious_Prophecy_70B-GGUF/Black-Ink-Guild_Pernicious_Prophecy_70B-Q4_K_M.gguf
+- !!merge <<: *llama33
+  name: "nohobby_l3.3-prikol-70b-v0.5"
+  icon: https://files.catbox.moe/x9t3zo.png
+  urls:
+    - https://huggingface.co/Nohobby/L3.3-Prikol-70B-v0.5
+    - https://huggingface.co/bartowski/Nohobby_L3.3-Prikol-70B-v0.5-GGUF
+  description: |
+    99% of mergekit addicts quit before they hit it big.
+
+    Gosh, I need to create an org for my test runs - my profile looks like a dumpster.
+
+    What was it again? Ah, the new model.
+
+    Exactly what I wanted. All I had to do was yank out the cursed official DeepSeek distill and here we are.
+
+    From the brief tests it gave me some unusual takes on the character cards I'm used to. Just this makes it worth it imo. Also the writing is kinda nice.
+  overrides:
+    parameters:
+      model: Nohobby_L3.3-Prikol-70B-v0.5-Q4_K_M.gguf
+  files:
+    - filename: Nohobby_L3.3-Prikol-70B-v0.5-Q4_K_M.gguf
+      sha256: 36f29015f1f420f51569603445a3ea5fe72e3651c2022ef064086f5617578fe6
+      uri: huggingface://bartowski/Nohobby_L3.3-Prikol-70B-v0.5-GGUF/Nohobby_L3.3-Prikol-70B-v0.5-Q4_K_M.gguf
 - &rwkv
   url: "github:mudler/LocalAI/gallery/rwkv.yaml@master"
   name: "rwkv-6-world-7b"
@@ -6890,6 +6913,60 @@
     - filename: krutrim-ai-labs_Krutrim-2-instruct-Q4_K_M.gguf
       sha256: 03aa6d1fb7ab70482a2242839b8d8e1c789aa90a8be415076ddf84bef65f06c7
       uri: huggingface://bartowski/krutrim-ai-labs_Krutrim-2-instruct-GGUF/krutrim-ai-labs_Krutrim-2-instruct-Q4_K_M.gguf
+- !!merge <<: *mistral03
+  name: "cognitivecomputations_dolphin3.0-r1-mistral-24b"
+  url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
+  icon: https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/hdAvdwZiJaLbGmvSZ3wTT.png
+  urls:
+    - https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B
+    - https://huggingface.co/bartowski/cognitivecomputations_Dolphin3.0-R1-Mistral-24B-GGUF
+  description: |
+    Dolphin 3.0 R1 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.
+  overrides:
+    parameters:
+      model: cognitivecomputations_Dolphin3.0-R1-Mistral-24B-Q4_K_M.gguf
+  files:
+    - filename: cognitivecomputations_Dolphin3.0-R1-Mistral-24B-Q4_K_M.gguf
+      sha256: d67de1e94fb32742bd09ee8beebbeb36a4b544785a8f8413dc4d9490e04eda6c
+      uri: huggingface://bartowski/cognitivecomputations_Dolphin3.0-R1-Mistral-24B-GGUF/cognitivecomputations_Dolphin3.0-R1-Mistral-24B-Q4_K_M.gguf
+- !!merge <<: *mistral03
+  name: "cognitivecomputations_dolphin3.0-mistral-24b"
+  url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
+  icon: https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/cNCs1TBD3FelWCJGkZ3cd.png
+  urls:
+    - https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B
+    - https://huggingface.co/bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF
+  description: |
+    Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.
+  overrides:
+    parameters:
+      model: cognitivecomputations_Dolphin3.0-Mistral-24B-Q4_K_M.gguf
+  files:
+    - filename: cognitivecomputations_Dolphin3.0-Mistral-24B-Q4_K_M.gguf
+      sha256: 6f193bbf98628140194df257c7466e2c6f80a7ef70a6ebae26c53b2f2ef21994
+      uri: huggingface://bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF/cognitivecomputations_Dolphin3.0-Mistral-24B-Q4_K_M.gguf
+- !!merge <<: *mistral03
+  name: "sicariussicariistuff_redemption_wind_24b"
+  url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
+  icon: https://huggingface.co/SicariusSicariiStuff/Redemption_Wind_24B/resolve/main/Images/Redemption_Wind_24B.png
+  urls:
+    - https://huggingface.co/SicariusSicariiStuff/Redemption_Wind_24B
+    - https://huggingface.co/bartowski/SicariusSicariiStuff_Redemption_Wind_24B-GGUF
+  description: |
+    This is a lightly fine-tuned version of the Mistral 24B base model, designed as an accessible and adaptable foundation for further fine-tuning and merging fodder. Key modifications include:
+    ChatML-ified, with no additional tokens introduced.
+    High quality private instruct—not generated by ChatGPT or Claude, ensuring no slop and good markdown understanding.
+    No refusals—since it’s a base model, refusals should be minimal to non-existent, though, in early testing, occasional warnings still appear (I assume some were baked into the pre-train).
+    High-quality private creative writing dataset Mainly to dilute baked-in slop further, but it can actually write some stories, not bad for loss ~8.
+    Small, high-quality private RP dataset This was done so further tuning for RP will be easier. The dataset was kept small and contains ZERO SLOP, some entries are of 16k token length.
+    Exceptional adherence to character cards This was done to make it easier for further tunes intended for roleplay.
+  overrides:
+    parameters:
+      model: SicariusSicariiStuff_Redemption_Wind_24B-Q4_K_M.gguf
+  files:
+    - filename: SicariusSicariiStuff_Redemption_Wind_24B-Q4_K_M.gguf
+      sha256: 40025eb00d83c9e9393555962962a2dfc5251fe7bd70812835ff0bcc55ecc463
+      uri: huggingface://bartowski/SicariusSicariiStuff_Redemption_Wind_24B-GGUF/SicariusSicariiStuff_Redemption_Wind_24B-Q4_K_M.gguf
 - &mudler
   url: "github:mudler/LocalAI/gallery/mudler.yaml@master" ### START mudler's LocalAI specific-models
   name: "LocalAI-llama3-8b-function-call-v0.2"
diff --git a/pkg/model/initializers.go b/pkg/model/initializers.go
index 3364f316..8cda7fec 100644
--- a/pkg/model/initializers.go
+++ b/pkg/model/initializers.go
@@ -43,8 +43,6 @@ var TypeAlias map[string]string = map[string]string{
 var AutoDetect = os.Getenv("DISABLE_AUTODETECT") != "true"
 
 const (
-	LlamaGGML = "llama-ggml"
-
 	LLamaCPP = "llama-cpp"
 
 	LLamaCPPAVX2     = "llama-cpp-avx2"
@@ -143,10 +141,10 @@ func orderBackends(backends map[string][]string) ([]string, error) {
 
 	// sets a priority list - first has more priority
 	priorityList := []string{
-		// First llama.cpp(variants) and llama-ggml to follow.
+		// First llama.cpp(variants)
 		// We keep the fallback to prevent that if the llama.cpp variants
 		// that depends on shared libs if breaks have still a safety net.
-		LLamaCPP, LlamaGGML, LLamaCPPFallback,
+		LLamaCPP, LLamaCPPFallback,
 	}
 
 	toTheEnd := []string{