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ty.tomlhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/ty.toml
ty.tomlhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/ty.toml
READMEhttps://github.com/TheTom/llama-cpp-turboquant
Contributinghttps://github.com/TheTom/llama-cpp-turboquant
MIT licensehttps://github.com/TheTom/llama-cpp-turboquant
Securityhttps://github.com/TheTom/llama-cpp-turboquant
https://github.com/TheTom/llama-cpp-turboquant#llamacpp--turboquant
https://opensource.org/licenses/MIT
https://github.com/TheTom/llama-cpp-turboquant
https://github.com/TheTom/turboquant_plus
ggml-org/llama.cpphttps://github.com/ggml-org/llama.cpp
TheTom/turboquant_plushttps://github.com/TheTom/turboquant_plus
https://github.com/TheTom/llama-cpp-turboquant#lineage--why-the-
https://github.com/TheTom/llama-cpp-turboquant#production-deployments
LocalAIhttps://localai.io
Chronarahttps://chronara.io
AtomicChathttps://atomic.chat/
https://github.com/TheTom/llama-cpp-turboquant#status
https://github.com/TheTom/llama-cpp-turboquant#what-this-fork-adds
https://github.com/TheTom/llama-cpp-turboquant#quantization-types
weight-compression-tq4https://github.com/TheTom/turboquant_plus/blob/main/docs/papers/weight-compression-tq4.md
weight-compression-tq4https://github.com/TheTom/turboquant_plus/blob/main/docs/papers/weight-compression-tq4.md
block-size-experimenthttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/block-size-experiment.md
attn-rotation-and-ppl-artifacthttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/attn-rotation-and-ppl-artifact.md
turbo4-resurrectionhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/turbo4-resurrection.md
why-mse-fails-for-kv-quantizationhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/why-mse-fails-for-kv-quantization.md
https://github.com/TheTom/llama-cpp-turboquant#compression-policies
asymmetric-kv-compressionhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/asymmetric-kv-compression.md
layer-aware-v-compressionhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/layer-aware-v-compression.md
moe-v-compression-frontierhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/moe-v-compression-frontier.md
sparse-v-dequanthttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/sparse-v-dequant.md
https://github.com/TheTom/llama-cpp-turboquant#backend-coverage
m5-max-stress-testhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/m5-max-stress-test.md
cross-engine-mi300xhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/cross-engine-mi300x.md
https://github.com/TheTom/llama-cpp-turboquant#model-family-support
https://github.com/TheTom/llama-cpp-turboquant#operational-fixes-carried-by-this-fork
https://github.com/TheTom/llama-cpp-turboquant#quick-start
https://github.com/TheTom/llama-cpp-turboquant#prebuilt-binaries
TurboQuant+ tqp-v0.2.0 releasehttps://github.com/TheTom/llama-cpp-turboquant/releases/tag/tqp-v0.2.0
turboquant-plus-tqp-v0.2.0-linux-x64-cpu.tar.gzhttps://github.com/TheTom/llama-cpp-turboquant/releases/download/tqp-v0.2.0/turboquant-plus-tqp-v0.2.0-linux-x64-cpu.tar.gz
turboquant-plus-tqp-v0.2.0-linux-x64-vulkan.tar.gzhttps://github.com/TheTom/llama-cpp-turboquant/releases/download/tqp-v0.2.0/turboquant-plus-tqp-v0.2.0-linux-x64-vulkan.tar.gz
turboquant-plus-tqp-v0.2.0-macos-arm64-metal.tar.gzhttps://github.com/TheTom/llama-cpp-turboquant/releases/download/tqp-v0.2.0/turboquant-plus-tqp-v0.2.0-macos-arm64-metal.tar.gz
turboquant-plus-tqp-v0.2.0-windows-x64-cuda12.4.ziphttps://github.com/TheTom/llama-cpp-turboquant/releases/download/tqp-v0.2.0/turboquant-plus-tqp-v0.2.0-windows-x64-cuda12.4.zip
https://github.com/TheTom/llama-cpp-turboquant#build-from-source
https://github.com/TheTom/llama-cpp-turboquant#usage
https://github.com/TheTom/llama-cpp-turboquant#kv-cache-quantization-runtime
Asymmetric K/V Cache Compression: Why V is Free and K is Everythinghttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/asymmetric-kv-compression.md
asymmetric-kv-compressionhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/asymmetric-kv-compression.md
moe-v-compression-frontierhttps://github.com/TheTom/turboquant_plus/blob/main/docs/papers/moe-v-compression-frontier.md
https://github.com/TheTom/llama-cpp-turboquant#weight-quantization-offline
https://github.com/TheTom/llama-cpp-turboquant#server-slot-saverestore-across-restarts
https://github.com/TheTom/llama-cpp-turboquant#automatic-behavior
https://github.com/TheTom/llama-cpp-turboquant#citation
TurboQuant+ paper corpushttps://github.com/TheTom/turboquant_plus/tree/main/docs/papers
https://github.com/TheTom/llama-cpp-turboquant#license
https://github.com/TheTom/llama-cpp-turboquant#recent-api-changes
Changelog for libllama APIhttps://github.com/ggml-org/llama.cpp/issues/9289
Changelog for llama-server REST APIhttps://github.com/ggml-org/llama.cpp/issues/9291
https://github.com/TheTom/llama-cpp-turboquant#hot-topics
guide : using the new WebUI of llama.cpphttps://github.com/ggml-org/llama.cpp/discussions/16938
guide : running gpt-oss with llama.cpphttps://github.com/ggml-org/llama.cpp/discussions/15396
[FEEDBACK] Better packaging for llama.cpp to support downstream consumers 🤗https://github.com/ggml-org/llama.cpp/discussions/15313
PRhttps://github.com/ggml-org/llama.cpp/pull/15091
Collaboration with NVIDIAhttps://blogs.nvidia.com/blog/rtx-ai-garage-openai-oss
Commenthttps://github.com/ggml-org/llama.cpp/discussions/15095
#12898https://github.com/ggml-org/llama.cpp/pull/12898
documentationhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/multimodal.md
https://github.com/ggml-org/llama.vscodehttps://github.com/ggml-org/llama.vscode
https://github.com/ggml-org/llama.vimhttps://github.com/ggml-org/llama.vim
ggml-org#9669https://github.com/ggml-org/llama.cpp/discussions/9669
discussionhttps://github.com/ggml-org/llama.cpp/discussions/9268
toolhttps://huggingface.co/spaces/CISCai/gguf-editor
herehttps://reeselevine.github.io/llamas-on-the-web/
https://github.com/TheTom/llama-cpp-turboquant#quick-start-1
brew, nix or wingethttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/install.md
Docker documentationhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/docker.md
releases pagehttps://github.com/ggml-org/llama.cpp/releases
our build guidehttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md
Obtaining and quantizing modelshttps://github.com/TheTom/llama-cpp-turboquant#obtaining-and-quantizing-models
https://github.com/TheTom/llama-cpp-turboquant#description
ggmlhttps://github.com/ggml-org/ggml
HOWTO-add-model.mdhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/development/HOWTO-add-model.md
https://github.com/TheTom/llama-cpp-turboquant#text-only
Mistral 7Bhttps://huggingface.co/mistralai/Mistral-7B-v0.1
Mixtral MoEhttps://huggingface.co/models?search=mistral-ai/Mixtral
DBRXhttps://huggingface.co/databricks/dbrx-instruct
Jambahttps://huggingface.co/ai21labs
Falconhttps://huggingface.co/models?search=tiiuae/falcon
Chinese LLaMA / Alpacahttps://github.com/ymcui/Chinese-LLaMA-Alpaca
Chinese LLaMA-2 / Alpaca-2https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
Vigogne (French)https://github.com/bofenghuang/vigogne
BERThttps://github.com/ggml-org/llama.cpp/pull/5423
Koalahttps://bair.berkeley.edu/blog/2023/04/03/koala/
Baichuan 1 & 2https://huggingface.co/models?search=baichuan-inc/Baichuan
derivationshttps://huggingface.co/hiyouga/baichuan-7b-sft
Aquila 1 & 2https://huggingface.co/models?search=BAAI/Aquila
Starcoder modelshttps://github.com/ggml-org/llama.cpp/pull/3187
Refacthttps://huggingface.co/smallcloudai/Refact-1_6B-fim
MPThttps://github.com/ggml-org/llama.cpp/pull/3417
Bloomhttps://github.com/ggml-org/llama.cpp/pull/3553
Yi modelshttps://huggingface.co/models?search=01-ai/Yi
StableLM modelshttps://huggingface.co/stabilityai
Deepseek modelshttps://huggingface.co/models?search=deepseek-ai/deepseek
Qwen modelshttps://huggingface.co/models?search=Qwen/Qwen
PLaMo-13Bhttps://github.com/ggml-org/llama.cpp/pull/3557
Phi modelshttps://huggingface.co/models?search=microsoft/phi
PhiMoEhttps://github.com/ggml-org/llama.cpp/pull/11003
GPT-2https://huggingface.co/gpt2
Orion 14Bhttps://github.com/ggml-org/llama.cpp/pull/5118
InternLM2https://huggingface.co/models?search=internlm2
CodeShellhttps://github.com/WisdomShell/codeshell
Gemmahttps://ai.google.dev/gemma
Mambahttps://github.com/state-spaces/mamba
Grok-1https://huggingface.co/keyfan/grok-1-hf
Xversehttps://huggingface.co/models?search=xverse
Command-R modelshttps://huggingface.co/models?search=CohereForAI/c4ai-command-r
SEA-LIONhttps://huggingface.co/models?search=sea-lion
GritLM-7Bhttps://huggingface.co/GritLM/GritLM-7B
GritLM-8x7Bhttps://huggingface.co/GritLM/GritLM-8x7B
OLMohttps://allenai.org/olmo
OLMo 2https://allenai.org/olmo
OLMoEhttps://huggingface.co/allenai/OLMoE-1B-7B-0924
Granite modelshttps://huggingface.co/collections/ibm-granite/granite-code-models-6624c5cec322e4c148c8b330
GPT-NeoXhttps://github.com/EleutherAI/gpt-neox
Pythiahttps://github.com/EleutherAI/pythia
Snowflake-Arctic MoEhttps://huggingface.co/collections/Snowflake/arctic-66290090abe542894a5ac520
Smaughttps://huggingface.co/models?search=Smaug
Poro 34Bhttps://huggingface.co/LumiOpen/Poro-34B
Bitnet b1.58 modelshttps://huggingface.co/1bitLLM
Flan T5https://huggingface.co/models?search=flan-t5
Open Elm modelshttps://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca
ChatGLM3-6bhttps://huggingface.co/THUDM/chatglm3-6b
ChatGLM4-9bhttps://huggingface.co/THUDM/glm-4-9b
GLMEdge-1.5bhttps://huggingface.co/THUDM/glm-edge-1.5b-chat
GLMEdge-4bhttps://huggingface.co/THUDM/glm-edge-4b-chat
GLM-4-0414https://huggingface.co/collections/THUDM/glm-4-0414-67f3cbcb34dd9d252707cb2e
SmolLMhttps://huggingface.co/collections/HuggingFaceTB/smollm-6695016cad7167254ce15966
EXAONE-3.0-7.8B-Instructhttps://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct
FalconMamba Modelshttps://huggingface.co/collections/tiiuae/falconmamba-7b-66b9a580324dd1598b0f6d4a
Jaishttps://huggingface.co/inceptionai/jais-13b-chat
Bielik-11B-v2.3https://huggingface.co/collections/speakleash/bielik-11b-v23-66ee813238d9b526a072408a
RWKV-7https://huggingface.co/collections/shoumenchougou/rwkv7-gxx-gguf
RWKV-6https://github.com/BlinkDL/RWKV-LM
QRWKV-6https://huggingface.co/recursal/QRWKV6-32B-Instruct-Preview-v0.1
GigaChat-20B-A3Bhttps://huggingface.co/ai-sage/GigaChat-20B-A3B-instruct
Trillion-7B-previewhttps://huggingface.co/trillionlabs/Trillion-7B-preview
Ling modelshttps://huggingface.co/collections/inclusionAI/ling-67c51c85b34a7ea0aba94c32
LFM2 modelshttps://huggingface.co/collections/LiquidAI/lfm2-686d721927015b2ad73eaa38
Hunyuan modelshttps://huggingface.co/collections/tencent/hunyuan-dense-model-6890632cda26b19119c9c5e7
BailingMoeV2 (Ring/Ling 2.0) modelshttps://huggingface.co/collections/inclusionAI/ling-v2-68bf1dd2fc34c306c1fa6f86
Mellum modelshttps://huggingface.co/JetBrains/models?search=mellum
https://github.com/TheTom/llama-cpp-turboquant#multimodal
LLaVA 1.5 modelshttps://huggingface.co/collections/liuhaotian/llava-15-653aac15d994e992e2677a7e
LLaVA 1.6 modelshttps://huggingface.co/collections/liuhaotian/llava-16-65b9e40155f60fd046a5ccf2
BakLLaVAhttps://huggingface.co/models?search=SkunkworksAI/Bakllava
Obsidianhttps://huggingface.co/NousResearch/Obsidian-3B-V0.5
ShareGPT4Vhttps://huggingface.co/models?search=Lin-Chen/ShareGPT4V
MobileVLM 1.7B/3B modelshttps://huggingface.co/models?search=mobileVLM
Yi-VLhttps://huggingface.co/models?search=Yi-VL
Mini CPMhttps://huggingface.co/models?search=MiniCPM
Moondreamhttps://huggingface.co/vikhyatk/moondream2
Bunnyhttps://github.com/BAAI-DCAI/Bunny
GLM-EDGEhttps://huggingface.co/models?search=glm-edge
Qwen2-VLhttps://huggingface.co/collections/Qwen/qwen2-vl-66cee7455501d7126940800d
LFM2-VLhttps://huggingface.co/collections/LiquidAI/lfm2-vl-68963bbc84a610f7638d5ffa
ddh0/easy-llamahttps://github.com/ddh0/easy-llama
abetlen/llama-cpp-pythonhttps://github.com/abetlen/llama-cpp-python
go-skynet/go-llama.cpphttps://github.com/go-skynet/go-llama.cpp
withcatai/node-llama-cpphttps://github.com/withcatai/node-llama-cpp
lgrammel/modelfusionhttps://modelfusion.dev/integration/model-provider/llamacpp
offline-ai/clihttps://github.com/offline-ai/cli
tangledgroup/llama-cpp-wasmhttps://github.com/tangledgroup/llama-cpp-wasm
ngxson/wllamahttps://github.com/ngxson/wllama
yoshoku/llama_cpp.rbhttps://github.com/yoshoku/llama_cpp.rb
docusealco/rllamahttps://github.com/docusealco/rllama
edgenai/llama_cpp-rshttps://github.com/edgenai/llama_cpp-rs
mdrokz/rust-llama.cpphttps://github.com/mdrokz/rust-llama.cpp
utilityai/llama-cpp-rshttps://github.com/utilityai/llama-cpp-rs
ShelbyJenkins/llm_clienthttps://github.com/ShelbyJenkins/llm_client
SciSharp/LLamaSharphttps://github.com/SciSharp/LLamaSharp
LM-Kit.NEThttps://docs.lm-kit.com/lm-kit-net/index.html
donderom/llm4shttps://github.com/donderom/llm4s
phronmophobic/llama.cljhttps://github.com/phronmophobic/llama.clj
mybigday/llama.rnhttps://github.com/mybigday/llama.rn
kherud/java-llama.cpphttps://github.com/kherud/java-llama.cpp
QuasarByte/llama-cpp-jnahttps://github.com/QuasarByte/llama-cpp-jna
deins/llama.cpp.zighttps://github.com/Deins/llama.cpp.zig
netdur/llama_cpp_darthttps://github.com/netdur/llama_cpp_dart
xuegao-tzx/Fllamahttps://github.com/xuegao-tzx/Fllama
distantmagic/resonancehttps://github.com/distantmagic/resonance
(more info)https://github.com/ggml-org/llama.cpp/pull/6326
guile_llama_cpphttps://savannah.nongnu.org/projects/guile-llama-cpp
srgtuszy/llama-cpp-swifthttps://github.com/srgtuszy/llama-cpp-swift
ShenghaiWang/SwiftLlamahttps://github.com/ShenghaiWang/SwiftLlama
Embarcadero/llama-cpp-delphihttps://github.com/Embarcadero/llama-cpp-delphi
hybridgroup/yzmahttps://github.com/hybridgroup/yzma
llama.androidhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/examples/llama.android
AI Sublime Text pluginhttps://github.com/yaroslavyaroslav/OpenAI-sublime-text
BonzAI Apphttps://apps.apple.com/us/app/bonzai-your-local-ai-agent/id6752847988
cztomsik/avahttps://github.com/cztomsik/ava
Dothttps://github.com/alexpinel/Dot
evahttps://github.com/ylsdamxssjxxdd/eva
iohub/collamahttps://github.com/iohub/coLLaMA
janhq/janhttps://github.com/janhq/jan
johnbean393/Sidekickhttps://github.com/johnbean393/Sidekick
KanTVhttps://github.com/zhouwg/kantv?tab=readme-ov-file
KodiBothttps://github.com/firatkiral/kodibot
llama.vimhttps://github.com/ggml-org/llama.vim
LARShttps://github.com/abgulati/LARS
Llama Assistanthttps://github.com/vietanhdev/llama-assistant
LlamaLibhttps://github.com/undreamai/LlamaLib
LLMFarmhttps://github.com/guinmoon/LLMFarm?tab=readme-ov-file
LLMUnityhttps://github.com/undreamai/LLMUnity
LMStudiohttps://lmstudio.ai/
LocalAIhttps://github.com/mudler/LocalAI
LostRuins/koboldcpphttps://github.com/LostRuins/koboldcpp
MindMachttps://mindmac.app
MindWorkAI/AI-Studiohttps://github.com/MindWorkAI/AI-Studio
Mobile-Artificial-Intelligence/maidhttps://github.com/Mobile-Artificial-Intelligence/maid
Mozilla-Ocho/llamafilehttps://github.com/Mozilla-Ocho/llamafile
nat/openplaygroundhttps://github.com/nat/openplayground
nomic-ai/gpt4allhttps://github.com/nomic-ai/gpt4all
ollama/ollamahttps://github.com/ollama/ollama
oobabooga/text-generation-webuihttps://github.com/oobabooga/text-generation-webui
PocketPal AIhttps://github.com/a-ghorbani/pocketpal-ai
psugihara/FreeChathttps://github.com/psugihara/FreeChat
ptsochantaris/emeltalhttps://github.com/ptsochantaris/emeltal
pythops/tenerehttps://github.com/pythops/tenere
ramalamahttps://github.com/containers/ramalama
semperai/amicahttps://github.com/semperai/amica
withcatai/cataihttps://github.com/withcatai/catai
Autopenhttps://github.com/blackhole89/autopen
akx/ggifyhttps://github.com/akx/ggify
akx/ollama-dlhttps://github.com/akx/ollama-dl
crashr/gppmhttps://github.com/crashr/gppm
gpustack/gguf-parserhttps://github.com/gpustack/gguf-parser-go/tree/main/cmd/gguf-parser
Styled Lineshttps://marketplace.unity.com/packages/tools/generative-ai/styled-lines-llama-cpp-model-292902
unslothai/unslothhttps://github.com/unslothai/unsloth
Paddlerhttps://github.com/intentee/paddler
GPUStackhttps://github.com/gpustack/gpustack
llama_cpp_canisterhttps://github.com/onicai/llama_cpp_canister
llama-swaphttps://github.com/mostlygeek/llama-swap
Kalavaihttps://github.com/kalavai-net/kalavai-client
llmazhttps://github.com/InftyAI/llmaz
LLMKubehttps://github.com/defilantech/llmkube
Lucy's Labyrinthhttps://github.com/MorganRO8/Lucys_Labyrinth
https://github.com/TheTom/llama-cpp-turboquant#supported-backends
Metalhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#metal-build
BLAShttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#blas-build
BLIShttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/BLIS.md
SYCLhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/SYCL.md
OpenVINO [In Progress]https://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/OPENVINO.md
MUSAhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#musa
CUDAhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#cuda
HIPhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#hip
ZenDNNhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#zendnn
Vulkanhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#vulkan
CANNhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#cann
OpenCLhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/OPENCL.md
IBM zDNNhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/zDNN.md
WebGPUhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md#webgpu
RPChttps://github.com/ggml-org/llama.cpp/tree/master/tools/rpc
Hexagon [In Progress]https://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/snapdragon/README.md
VirtGPUhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/backend/VirtGPU.md
https://github.com/TheTom/llama-cpp-turboquant#obtaining-and-quantizing-models
Hugging Facehttps://huggingface.co
number of LLMshttps://huggingface.co/models?library=gguf&sort=trending
Trendinghttps://huggingface.co/models?library=gguf&sort=trending
LLaMAhttps://huggingface.co/models?sort=trending&search=llama+gguf
Hugging Facehttps://huggingface.co/
GGUFhttps://github.com/ggml-org/ggml/blob/master/docs/gguf.md
GGUF-my-repo spacehttps://huggingface.co/spaces/ggml-org/gguf-my-repo
GGUF-my-LoRA spacehttps://huggingface.co/spaces/ggml-org/gguf-my-lora
ggml-org#10123https://github.com/ggml-org/llama.cpp/discussions/10123
GGUF-editor spacehttps://huggingface.co/spaces/CISCai/gguf-editor
ggml-org#9268https://github.com/ggml-org/llama.cpp/discussions/9268
Inference Endpointshttps://ui.endpoints.huggingface.co/
ggml-org#9669https://github.com/ggml-org/llama.cpp/discussions/9669
read this documentationhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/quantize/README.md
llama-clihttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/cli
https://github.com/TheTom/llama-cpp-turboquant#llama-cli
https://github.com/TheTom/llama-cpp-turboquant#a-cli-tool-for-accessing-and-experimenting-with-most-of-llamacpps-functionality
grammars/https://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/grammars
GBNF Guidehttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/grammars/README.md
https://grammar.intrinsiclabs.ai/https://grammar.intrinsiclabs.ai/
llama-serverhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/server
https://github.com/TheTom/llama-cpp-turboquant#llama-server
OpenAI APIhttps://github.com/openai/openai-openapi
https://github.com/TheTom/llama-cpp-turboquant#a-lightweight-openai-api-compatible-http-server-for-serving-llms
llama-perplexityhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/perplexity
https://github.com/TheTom/llama-cpp-turboquant#llama-perplexity
perplexityhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/perplexity/README.md
1https://github.com/TheTom/llama-cpp-turboquant#user-content-fn-1-f2dbeadde373b55fe2ab9ca04a84c2fd
https://github.com/TheTom/llama-cpp-turboquant#a-tool-for-measuring-the-perplexity-1-and-other-quality-metrics-of-a-model-over-a-given-text
llama-benchhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/llama-bench
https://github.com/TheTom/llama-cpp-turboquant#llama-bench
https://github.com/TheTom/llama-cpp-turboquant#benchmark-the-performance-of-the-inference-for-various-parameters
llama-simplehttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/examples/simple
https://github.com/TheTom/llama-cpp-turboquant#llama-simple
https://github.com/TheTom/llama-cpp-turboquant#a-minimal-example-for-implementing-apps-with-llamacpp-useful-for-developers
https://github.com/TheTom/llama-cpp-turboquant#contributing
good first issueshttps://github.com/ggml-org/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22
CONTRIBUTING.mdhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/CONTRIBUTING.md
Inference at the edgehttps://github.com/ggml-org/llama.cpp/discussions/205
Changelog podcasthttps://changelog.com/podcast/532
https://github.com/TheTom/llama-cpp-turboquant#other-documentation
clihttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/cli/README.md
completionhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/completion/README.md
serverhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/tools/server/README.md
GBNF grammarshttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/grammars/README.md
https://github.com/TheTom/llama-cpp-turboquant#development-documentation
How to buildhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/build.md
Running on Dockerhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/docker.md
Build on Androidhttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/android.md
Multi-GPU usagehttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/multi-gpu.md
Performance troubleshootinghttps://github.com/TheTom/llama-cpp-turboquant/blob/feature/turboquant-kv-cache/docs/development/token_generation_performance_tips.md
GGML tips & trickshttps://github.com/ggml-org/llama.cpp/wiki/GGML-Tips-&-Tricks
https://github.com/TheTom/llama-cpp-turboquant#seminal-papers-and-background-on-the-models
Introducing LLaMA: A foundational, 65-billion-parameter large language modelhttps://ai.facebook.com/blog/large-language-model-llama-meta-ai/
LLaMA: Open and Efficient Foundation Language Modelshttps://arxiv.org/abs/2302.13971
Language Models are Few-Shot Learnershttps://arxiv.org/abs/2005.14165
Aligning language models to follow instructionshttps://openai.com/research/instruction-following
Training language models to follow instructions with human feedbackhttps://arxiv.org/abs/2203.02155
https://github.com/TheTom/llama-cpp-turboquant#xcframework
https://github.com/TheTom/llama-cpp-turboquant#completions
https://github.com/TheTom/llama-cpp-turboquant#bash-completion
https://github.com/TheTom/llama-cpp-turboquant#dependencies
yhirose/cpp-httplibhttps://github.com/yhirose/cpp-httplib
stb-imagehttps://github.com/nothings/stb
nlohmann/jsonhttps://github.com/nlohmann/json
miniaudio.hhttps://github.com/mackron/miniaudio
subprocess.hhttps://github.com/sheredom/subprocess.h
https://huggingface.co/docs/transformers/perplexityhttps://huggingface.co/docs/transformers/perplexity
https://github.com/TheTom/llama-cpp-turboquant#user-content-fnref-1-f2dbeadde373b55fe2ab9ca04a84c2fd
Readme https://github.com/TheTom/llama-cpp-turboquant#readme-ov-file
MIT license https://github.com/TheTom/llama-cpp-turboquant#MIT-1-ov-file
Contributing https://github.com/TheTom/llama-cpp-turboquant#contributing-ov-file
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