初始化项目,由ModelHub XC社区提供模型

Model: Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-27 15:09:19 +08:00
commit ba159439ec
3 changed files with 106 additions and 0 deletions

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
license: apache-2.0
base_model: Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16
library_name: transformers
pipeline_tag: text-generation
tags:
- qwen3
- qwen
- qwen3-4b
- merged
- lora
- fp16
- no-4bit
- transformers
- text-generation
- instruction-tuned
- llama-cpp
- gguf-my-repo
datasets:
- TeichAI/claude-haiku-4.5-1700x
language:
- en
---
# Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF
This model was converted to GGUF format from [`Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16`](https://huggingface.co/Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16) 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/Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16) 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 Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF --hf-file qwen3-2507-4b-instruct-haiku-4.5-merged-fp16-q6_k.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF --hf-file qwen3-2507-4b-instruct-haiku-4.5-merged-fp16-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 Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF --hf-file qwen3-2507-4b-instruct-haiku-4.5-merged-fp16-q6_k.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16-Q6_K-GGUF --hf-file qwen3-2507-4b-instruct-haiku-4.5-merged-fp16-q6_k.gguf -c 2048
```