Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2-GGUF
187
2
7.0B
—
by
QuantFactory
Code Model
OTHER
7B params
New
187 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary
QuantFactory/Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2-GGUF This is quantized version of BenevolenceMessiah/Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2 created usin...
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM
Code Examples
Configurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionConfigurationyaml
# Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct # Reflecting Update 11/9/2024
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B # Reflecting Update 11/9/2024
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: unionDeploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.