Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| enable f16; | |
| struct Params { | |
| ne: u32, | |
| // offsets in elements | |
| offset_src0: u32, | |
| offset_src1: u32, | |
| offset_dst: u32, | |
| stride_src0_0: u32, | |
| stride_src0_1: u32, | |
| stride_src0_2: u32, | |
| stride_src0_3: u32, | |
| stride_src1_0: u32, | |
| stride_src1_1: u32, | |
| stride_src1_2: u32, | |
| stride_src1_3: u32, | |
| a_ne0: u32, | |
| a_ne1: u32, | |
| a_ne2: u32, | |
| b_ne0: u32, | |
| b_ne1: u32, | |
| b_ne2: u32, | |
| b_ne3: u32, | |
| }; | |
| fn src0_index(_i: u32) -> u32 { | |
| var i = _i; | |
| let a_i3 = i / (params.a_ne2 * params.a_ne1 * params.a_ne0); | |
| i = i % (params.a_ne2 * params.a_ne1 * params.a_ne0); | |
| let a_i2 = i / (params.a_ne1 * params.a_ne0); | |
| i = i % (params.a_ne1 * params.a_ne0); | |
| let a_i1 = i / params.a_ne0; | |
| let a_i0 = i % params.a_ne0; | |
| return a_i0 * params.stride_src0_0 + | |
| a_i1 * params.stride_src0_1 + | |
| a_i2 * params.stride_src0_2 + | |
| a_i3 * params.stride_src0_3; | |
| } | |
| fn src1_index(_i: u32) -> u32 { | |
| var i = _i; | |
| let a_i3 = i / (params.a_ne2 * params.a_ne1 * params.a_ne0); | |
| i = i % (params.a_ne2 * params.a_ne1 * params.a_ne0); | |
| let a_i2 = i / (params.a_ne1 * params.a_ne0); | |
| i = i % (params.a_ne1 * params.a_ne0); | |
| let a_i1 = i / params.a_ne0; | |
| let a_i0 = i % params.a_ne0; | |
| // handle repetition of b | |
| // index loops back to the beginning and repeats after elements are exhausted = modulo | |
| let b_i0 = a_i0 % params.b_ne0; | |
| let b_i1 = a_i1 % params.b_ne1; | |
| let b_i2 = a_i2 % params.b_ne2; | |
| let b_i3 = a_i3 % params.b_ne3; | |
| // compute index for position in b's flat array | |
| return b_i0 * params.stride_src1_0 + | |
| b_i1 * params.stride_src1_1 + | |
| b_i2 * params.stride_src1_2 + | |
| b_i3 * params.stride_src1_3; | |
| } | |
| @group(0) @binding(0) | |
| var<storage, read_write> merged_src: array<DataType>; | |
| @group(0) @binding(1) | |
| var<storage, read_write> dst: array<DataType>; | |
| @group(0) @binding(2) | |
| var<uniform> params: Params; | |
| @group(0) @binding(0) | |
| var<storage, read_write> src0: array<DataType>; | |
| @group(0) @binding(1) | |
| var<storage, read_write> src1 : array<DataType>; | |
| @group(0) @binding(2) | |
| var<uniform> params: Params; | |
| @group(0) @binding(2) | |
| var<storage, read_write> dst: array<DataType>; | |
| @group(0) @binding(3) | |
| var<uniform> params: Params; | |
| fn op(a: DataType, b: DataType) -> DataType { | |
| return a + b; | |
| return a - b; | |
| return a * b; | |
| return a / b; | |
| } | |
| fn update(dst_i: u32, src0_i: u32, src1_i: u32) { | |
| let result = op(merged_src[src0_i], merged_src[src1_i]); | |
| let result = op(src0[src0_i], src1[src1_i]); | |
| src0[src0_i] = result; | |
| src1[src1_i] = result; | |
| dst[dst_i] = result; | |
| } | |
| @compute @workgroup_size(WG_SIZE) | |
| fn main(@builtin(global_invocation_id) gid: vec3<u32>, | |
| @builtin(num_workgroups) num_wg: vec3<u32>) { | |
| let threads_per_group = u32(WG_SIZE); | |
| let i = gid.x + (num_wg.x * threads_per_group) * gid.y; | |
| if (i < params.ne) { | |
| let src0_i = params.offset_src0 + src0_index(i); | |
| let src1_i = params.offset_src1 + src1_index(i); | |
| update(params.offset_dst + i, src0_i, src1_i); | |
| } | |
| } | |