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.
- 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
- 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
- Atomic Chat
File size: 2,074 Bytes
1debbd5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | # include "ggml-backend-impl.h"
#if defined(__powerpc64__) || defined(__ppc64__) || defined(__PPC64__)
#if defined(__linux__)
#include <sys/auxv.h>
#endif
#include <string>
struct powerpc_features {
std::string platform = "";
int power_version = -1;
bool has_vsx = false;
powerpc_features() {
#if defined(__linux__)
unsigned long auxval = getauxval(AT_PLATFORM);
if (auxval) {
platform = std::string(reinterpret_cast<const char*>(auxval));
// TBD: Do systems exist that return this in uppercase?
if (platform.substr(0, 5) == "power") {
// Extractt a numeric suffix, if one exists
int vpos = -1;
for (int i = platform.length() - 1; i >= 0; i--) {
if (std::isdigit(platform[i])) {
vpos = i;
} else {
break;
}
}
if (vpos > -1) {
power_version = std::stoi(platform.substr(vpos));
}
}
}
#endif
if (power_version >= 9) {
has_vsx = true;
}
}
};
static int ggml_backend_cpu_powerpc_score() {
int score = 1;
powerpc_features pf;
// Platform scores
#if defined(GGML_USE_POWER7)
if (pf.power_version < 7) { return 0; }
score += 1<<1;
#endif
#if defined(GGML_USE_POWER8)
if (pf.power_version < 8) { return 0; }
score += 1<<2;
#endif
#if defined(GGML_USE_POWER9)
if (pf.power_version < 9) { return 0; }
score += 1<<3;
#endif
#if defined(GGML_USE_POWER10)
if (pf.power_version < 10) { return 0; }
score += 1<<4;
#endif
#if defined(GGML_USE_POWER11)
if (pf.power_version < 11) { return 0; }
score += 1<<5;
#endif
// Feature scores
#if defined(GGML_USE_VSX)
if (!pf.has_vsx) { return 0; }
score += 1<<6;
#endif
return score;
}
GGML_BACKEND_DL_SCORE_IMPL(ggml_backend_cpu_powerpc_score)
#endif // defined(__powerpc64__) || defined(__ppc64__) || defined(__PPC64__)
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