Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,160 @@
+---
+language:
+- tr
+- ar
+- af
+- az
+- es
+- en
+- el
+- ro
+- ru
+- rm
+- th
+- uk
+- uz
+- pl
+- pt
+- fa
+- sk
+- sl
+- da
+- de
+- nl
+- fr
+- fi
+- ka
+- hi
+- hu
+- hy
+- ja
+- kk
+- kn
+- ko
+- ku
+- ky
+- la
+- lb
+- id
+- is
+- it
+- zh
+- cs
+- vi
+- be
+- bg
+- bs
+- ne
+- mn
+license: mit
+tags:
+- turkish
+- türkiye
+- english
+- ai
+- lamapi
+- gemma3
+- next
+- next-x1
+- efficient
+- text-generation
+- open-source
+- 1b
+- huggingface
+- large-language-model
+- llm
+- causal
+- transformer
+- artificial-intelligence
+- machine-learning
+- ai-research
+- natural-language-processing
+- nlp
+- finetuned
+- lightweight
+- creative
+- summarization
+- question-answering
+- chat-model
+- generative-ai
+- optimized-model
+- unsloth
+- trl
+- sft
+- chemistry
+- biology
+- finance
+- legal
+- music
+- art
+- code
+- climate
+- medical
+- agent
+- text-generation-inference
+- llama-cpp
+- gguf-my-repo
+pipeline_tag: text-generation
+datasets:
+- mlabonne/FineTome-100k
+- ITCL/FineTomeOs
+- Gryphe/ChatGPT-4o-Writing-Prompts
+- dongguanting/ARPO-SFT-54K
+- GreenerPastures/All-Your-Base-Full
+- Gryphe/Opus-WritingPrompts
+- HuggingFaceH4/MATH-500
+- mlabonne/smoltalk-flat
+- mlabonne/natural_reasoning-formatted
+- OpenSPG/KAG-Thinker-training-dataset
+- uclanlp/Brief-Pro
+- CognitiveKernel/CognitiveKernel-Pro-SFT
+- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
+- QuixiAI/dolphin-r1
+- mlabonne/lmsys-arena-human-sft-55k
+library_name: transformers
+base_model: Lamapi/next-1b
+---
+
+# Lamapi/next-1b-Q6_K-GGUF
+This model was converted to GGUF format from [`Lamapi/next-1b`](https://huggingface.co/Lamapi/next-1b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/Lamapi/next-1b) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo Lamapi/next-1b-Q6_K-GGUF --hf-file next-1b-q6_k.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Lamapi/next-1b-Q6_K-GGUF --hf-file next-1b-q6_k.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Lamapi/next-1b-Q6_K-GGUF --hf-file next-1b-q6_k.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Lamapi/next-1b-Q6_K-GGUF --hf-file next-1b-q6_k.gguf -c 2048
+```