Text Generation
Transformers
GGUF
Turkish
turkish
türkiye
english
ai
lamapi
gemma3
next
next-x1
efficient
open-source
1b
270m
finetune
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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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language: tr
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license: mit
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tags:
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- turkish
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- türkiye
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- english
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- ai
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- lamapi
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- gemma3
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- next
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- next-x1
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- efficient
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- text-generation
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- open-source
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- 1b
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- 270m
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- finetune
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- gguf
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- huggingface
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- large-language-model
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- llm
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- causal
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| 24 |
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- transformer
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- artificial-intelligence
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- machine-learning
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| 27 |
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- ai-research
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| 28 |
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- natural-language-processing
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| 29 |
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- nlp
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| 30 |
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- finetuned
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| 31 |
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- lightweight
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| 32 |
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- creative
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- summarization
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| 34 |
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- question-answering
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- chat-model
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- generative-ai
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| 37 |
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- optimized-model
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- unsloth
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- trl
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- sft
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- chemistry
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- biology
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- finance
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- legal
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- music
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| 46 |
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- art
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| 47 |
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- code
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| 48 |
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- climate
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| 49 |
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- medical
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| 50 |
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- agent
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| 51 |
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- text-generation-inference
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- llama-cpp
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- gguf-my-repo
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pipeline_tag: text-generation
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datasets:
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- mlabonne/FineTome-100k
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- ITCL/FineTomeOs
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- Gryphe/ChatGPT-4o-Writing-Prompts
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| 59 |
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- dongguanting/ARPO-SFT-54K
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| 60 |
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- GreenerPastures/All-Your-Base-Full
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| 61 |
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- Gryphe/Opus-WritingPrompts
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| 62 |
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- HuggingFaceH4/MATH-500
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| 63 |
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- mlabonne/smoltalk-flat
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| 64 |
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- mlabonne/natural_reasoning-formatted
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| 65 |
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- OpenSPG/KAG-Thinker-training-dataset
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| 66 |
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- uclanlp/Brief-Pro
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| 67 |
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- CognitiveKernel/CognitiveKernel-Pro-SFT
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| 68 |
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- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
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| 69 |
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- QuixiAI/dolphin-r1
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| 70 |
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- mlabonne/lmsys-arena-human-sft-55k
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library_name: transformers
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base_model: Lamapi/next-270m
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---
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# Lamapi/next-270m-Q4_K_M-GGUF
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This model was converted to GGUF format from [`Lamapi/next-270m`](https://huggingface.co/Lamapi/next-270m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Lamapi/next-270m) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo Lamapi/next-270m-Q4_K_M-GGUF --hf-file next-270m-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo Lamapi/next-270m-Q4_K_M-GGUF --hf-file next-270m-q4_k_m.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo Lamapi/next-270m-Q4_K_M-GGUF --hf-file next-270m-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo Lamapi/next-270m-Q4_K_M-GGUF --hf-file next-270m-q4_k_m.gguf -c 2048
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```
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