初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/GCIRS-Reasoning-1.5B-R1-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,47 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

GCIRS-Reasoning-1.5B-R1.BF16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48b25a1b9045fc826ad110f0f0fca136dcd307f8ce67a17eeb1d1b27c87c206d
+size 3560415968

GCIRS-Reasoning-1.5B-R1.F16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75ae2b0363db0715a0ea1c00a087dfb0bac380791001dcbbd3f7a9ffcf5bd3bf
+size 3560415968

GCIRS-Reasoning-1.5B-R1.F32.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:241b396df8816270f021cc6227481a83c52e543bf3f94e3387d93415a41054ce
+size 7114302176

GCIRS-Reasoning-1.5B-R1.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:434df31d6192830b749210fbd88644cda73092d88bbec31ff7d3d558ac9828b6
+size 752879840

GCIRS-Reasoning-1.5B-R1.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f90b196fd6a3a29344cb23e9e35a216cfb6fe2fde8c9214b67e34fd70327a3a5
+size 980439776

GCIRS-Reasoning-1.5B-R1.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb8577b091902b29cd5700be550b51af166c43bfd64be1fbccc9a5fbf5dd49d6
+size 924455648

GCIRS-Reasoning-1.5B-R1.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4371f2f75e02fc30081a9aff9312e717b68617e67aa7541f0e52943f2407603f
+size 861221600

GCIRS-Reasoning-1.5B-R1.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9fa219727d579a58dac19198a0a37e8ea6e114026891451bad4d0457540dc16
+size 1117320416

GCIRS-Reasoning-1.5B-R1.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2b5d0f387c8a2373dcbe7182446352ac0cac4644868e36f8395f907e2b461eb
+size 1071584480

GCIRS-Reasoning-1.5B-R1.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad5d1e6e6aff4e41fc134b31d63873b6377f56a715fb0f35ba45881989fa90c6
+size 1285493984

GCIRS-Reasoning-1.5B-R1.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:425e66bb69c6c265daa86d6a407d38769d965c23aef3305764b849a108a6d171
+size 1259173088

GCIRS-Reasoning-1.5B-R1.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1b6bcda12e31464393510d4410cc7f6fcff823c64b0809f7081170b18909e39
+size 1464178400

GCIRS-Reasoning-1.5B-R1.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e624339948eb28a3bdf26fe6b6255904a8b5eb0b03293494f510cb89cfa1655
+size 1894531808

README.md

@@ -0,0 +1,55 @@
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- prithivMLmods/GCIRS-Reasoning-1.5B-R1
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- code
+- math
+- RL
+- science
+---
+
+# **GCIRS-Reasoning-1.5B-R1-GGUF**
+
+> **GCIRS-Reasoning-1.5B-R1** is a **research-grade reasoning model** fine-tuned from **Qwen2.5-1.5B-Instruct**, focused on **non-fictional reasoning**, **factual consistency**, and **scientific depth**. Trained with reinforcement learning using the **Big Reasoning Traces** dataset from DeepSeek, this model is tailored for complex analytical tasks and scientific rigor in high-stakes or research environments.
+
+
+## Model Files
+
+| File Name | Format | Size | Precision | Use Case |
+|-----------|--------|------|-----------|----------|
+| `GCIRS-Reasoning-1.5B-R1.F32.gguf` | GGUF | 7.11 GB | F32 | Highest precision, research use |
+| `GCIRS-Reasoning-1.5B-R1.BF16.gguf` | GGUF | 3.56 GB | BF16 | High precision, balanced performance |
+| `GCIRS-Reasoning-1.5B-R1.F16.gguf` | GGUF | 3.56 GB | F16 | High precision, memory efficient |
+| `GCIRS-Reasoning-1.5B-R1.Q8_0.gguf` | GGUF | 1.89 GB | Q8_0 | Excellent quality, moderate compression |
+| `GCIRS-Reasoning-1.5B-R1.Q6_K.gguf` | GGUF | 1.46 GB | Q6_K | Very good quality, good compression |
+| `GCIRS-Reasoning-1.5B-R1.Q5_K_M.gguf` | GGUF | 1.29 GB | Q5_K_M | Balanced quality/size (recommended) |
+| `GCIRS-Reasoning-1.5B-R1.Q5_K_S.gguf` | GGUF | 1.26 GB | Q5_K_S | Good quality, smaller size |
+| `GCIRS-Reasoning-1.5B-R1.Q4_K_M.gguf` | GGUF | 1.12 GB | Q4_K_M | Good balance for most users |
+| `GCIRS-Reasoning-1.5B-R1.Q4_K_S.gguf` | GGUF | 1.07 GB | Q4_K_S | Decent quality, compact size |
+| `GCIRS-Reasoning-1.5B-R1.Q3_K_L.gguf` | GGUF | 980 MB | Q3_K_L | Lower quality, very compact |
+| `GCIRS-Reasoning-1.5B-R1.Q3_K_M.gguf` | GGUF | 924 MB | Q3_K_M | Fast inference, limited quality |
+| `GCIRS-Reasoning-1.5B-R1.Q3_K_S.gguf` | GGUF | 861 MB | Q3_K_S | Fastest inference, basic quality |
+| `GCIRS-Reasoning-1.5B-R1.Q2_K.gguf` | GGUF | 753 MB | Q2_K | Minimal size, experimental use |
+
+### Quick Selection Guide
+
+- **For Research/Development**: Use `F32` or `BF16` for maximum accuracy
+- **For Production (Recommended)**: Use `Q5_K_M` or `Q6_K` for best quality/performance balance
+- **For General Use**: Use `Q4_K_M` or `Q4_K_S` for good performance
+- **For Resource-Constrained Environments**: Use `Q3_K_M` or `Q3_K_L`
+- **For Edge Devices**: Use `Q2_K` for minimal footprint
+
+## Quants Usage 
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

config.json

@@ -0,0 +1,3 @@
+{
+    "model_type": "qwen2"
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}