What are the hardware requirements for Phind CodeLlama 34B V2 GPTQ?

Phind CodeLlama 34B V2 GPTQ requires approximately 17.7 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phind CodeLlama 34B V2 GPTQ and how large is it?

Phind CodeLlama 34B V2 GPTQ is developed by TheBloke, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Phind CodeLlama 34B V2 GPTQ?

Phind CodeLlama 34B V2 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phind CodeLlama 34B V2 GPTQ by TheBloke — VRAM 17.7GB, 16K context

Name: Phind CodeLlama 34B V2 GPTQ
Author: TheBloke

Phind CodeLlama 34B V2 GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 17.7GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

4-bit Base model:phind/phind-codella... Base model:quantized:phind/phi... Code llama Codegen Gptq Llama Model-index Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v2-GPTQ

Phind CodeLlama 34B V2 GPTQ Parameters and Internals

Model Type

text-generation

Additional Notes

It is strongly recommended to use the text-generation-webui one-click-installers unless you're sure you know how to make a manual install.

Supported Languages

Python (proficient), C/C++ (proficient), TypeScript (proficient), Java (proficient)

Training Details

Data Sources:

1.5B tokens of high-quality programming-related data

Data Volume:

1.5B tokens

Methodology:

Instruction-tuned on Alpaca/Vicuna format

Context Length:

4096

Training Time:

15 hours on 32 A100-80GB GPUs

Hardware Used:

32 A100-80GB GPUs

Model Architecture:

Llama

Safety Evaluation

Ethical Considerations:

This model has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.

Input Output

Input Format:

### System Prompt {system_message} ### User Message {prompt} ### Assistant

LLM Name	Phind CodeLlama 34B V2 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v2-GPTQ
Model Creator	Phind
Base Model(s)	Phind CodeLlama 34B V2 Phind/Phind-CodeLlama-34B-v2
Model Size	34b
Required VRAM	17.7 GB
Updated	2026-08-05
Maintainer	TheBloke
Model Type	llama
Model Files	17.7 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Phind CodeLlama 34B V2 GPTQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Phind CodeLlama 34B V2 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...chless Codellama 34B V2.0 GPTQ	16K / 17.7 GB	6	4
CodeFuse CodeLlama 34B 4bits	16K / 19 GB	26	26
...nbuddy Coder 34B V11 Bf16 GPTQ	16K / 17.9 GB	9	0
CodeLlama 34B Instruct GPTQ	16K / 18.3 GB	150	74
MAmmoTH Coder 34B GPTQ	16K / 17.7 GB	10	2
Synthia 34B V1.2 GPTQ	16K / 17.7 GB	9	7
CodeFuse CodeLlama 34B GPTQ	16K / 17.7 GB	4	9
...zardCoder Python 34B V1.0 GPTQ	16K / 17.7 GB	55	62
CodeLlama 34B Guanaco Gptq	16K / 18.3 GB	65	5
...mantha 1.11 CodeLlama 34B GPTQ	16K / 17.7 GB	59	21

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Phind-CodeLlama-34B-v2-GPTQ.